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12 matches in All Departments
Automatic detection and segmentation of anatomical structures in
medical images are prerequisites to subsequent image measurements
and disease quantification, and therefore have multiple clinical
applications. This book presents an efficient object detection and
segmentation framework, called Marginal Space Learning, which runs
at a sub-second speed on a current desktop computer, faster than
the state-of-the-art. Trained with a sufficient number of data
sets, Marginal Space Learning is also robust under imaging
artifacts, noise and anatomical variations. The book showcases 35
clinical applications of Marginal Space Learning and its extensions
to detecting and segmenting various anatomical structures, such as
the heart, liver, lymph nodes and prostate in major medical imaging
modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its
efficiency and robustness.
Automatic detection and segmentation of anatomical structures in
medical images are prerequisites to subsequent image measurements
and disease quantification, and therefore have multiple clinical
applications. This book presents an efficient object detection and
segmentation framework, called Marginal Space Learning, which runs
at a sub-second speed on a current desktop computer, faster than
the state-of-the-art. Trained with a sufficient number of data
sets, Marginal Space Learning is also robust under imaging
artifacts, noise and anatomical variations. The book showcases 35
clinical applications of Marginal Space Learning and its extensions
to detecting and segmenting various anatomical structures, such as
the heart, liver, lymph nodes and prostate in major medical imaging
modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its
efficiency and robustness.
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
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R3,354
Discovery Miles 33 540
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Ships in 10 - 15 working days
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The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
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R3,385
Discovery Miles 33 850
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Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part II (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
|
R3,085
Discovery Miles 30 850
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
|
R3,651
Discovery Miles 36 510
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part III (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
|
R3,080
Discovery Miles 30 800
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part VI (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
|
R3,074
Discovery Miles 30 740
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part IV (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
|
R3,091
Discovery Miles 30 910
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
|
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part I (Paperback, 1st ed. 2021)
Marleen de Bruijne, Philippe C. Cattin, Stephane Cotin, Nicolas Padoy, Stefanie Speidel, …
|
R3,877
Discovery Miles 38 770
|
Ships in 10 - 15 working days
|
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906,
12907, and 12908 constitutes the refereed proceedings of the 24th
International Conference on Medical Image Computing and
Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg,
France, in September/October 2021.*The 531 revised full papers
presented were carefully reviewed and selected from 1630
submissions in a double-blind review process. The papers are
organized in the following topical sections: Part I: image
segmentation Part II: machine learning - self-supervised learning;
machine learning - semi-supervised learning; and machine learning -
weakly supervised learning Part III: machine learning - advances in
machine learning theory; machine learning - attention models;
machine learning - domain adaptation; machine learning - federated
learning; machine learning - interpretability / explainability; and
machine learning - uncertainty Part IV: image registration;
image-guided interventions and surgery; surgical data science;
surgical planning and simulation; surgical skill and work flow
analysis; and surgical visualization and mixed, augmented and
virtual reality Part V: computer aided diagnosis; integration of
imaging with non-imaging biomarkers; and outcome/disease prediction
Part VI: image reconstruction; clinical applications - cardiac; and
clinical applications - vascular Part VII: clinical applications -
abdomen; clinical applications - breast; clinical applications -
dermatology; clinical applications - fetal imaging; clinical
applications - lung; clinical applications - neuroimaging - brain
development; clinical applications - neuroimaging - DWI and
tractography; clinical applications - neuroimaging - functional
brain networks; clinical applications - neuroimaging - others; and
clinical applications - oncology Part VIII: clinical applications -
ophthalmology; computational (integrative) pathology; modalities -
microscopy; modalities - histopathology; and modalities -
ultrasound *The conference was held virtually.
Throughout history, handwriting has been the primary means of
recording information that is persevered across both time and
space. With the coming of the electronic document era, we are
challenged with making an enormous amount of handwritten documents
available for electronic access. Though many handwritten documents
contain only handwriting, now, more are mixed with printed text,
noise, and background patterns. Handwriting in a printed document
often indicates corrections, additions, or other supplemental
information that should be treated differently from the main
content. The mixture of handwriting with other components presents
a great challenge for making an original document electronically
accessible. In this book, we propose a novel approach to separating
a handwritten document into different layers, such as handwriting,
machine printed text, noise, and background patterns. The
identified handwriting may be further analyzed. For example, we
propose a novel point-pattern based handwriting matching technique
and apply it for handwriting synthesis and retrieval.
This book presents a detailed review of the state of the art in
deep learning approaches for semantic object detection and
segmentation in medical image computing, and large-scale radiology
database mining. A particular focus is placed on the application of
convolutional neural networks, with the theory supported by
practical examples. Features: highlights how the use of deep neural
networks can address new questions and protocols, as well as
improve upon existing challenges in medical image computing;
discusses the insightful research experience of Dr. Ronald M.
Summers; presents a comprehensive review of the latest research and
literature; describes a range of different methods that make use of
deep learning for object or landmark detection tasks in 2D and 3D
medical imaging; examines a varied selection of techniques for
semantic segmentation using deep learning principles in medical
imaging; introduces a novel approach to interleaved text and image
deep mining on a large-scale radiology image database.
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