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This book presents cutting-edge research and applications of deep
learning in a broad range of medical imaging scenarios, such as
computer-aided diagnosis, image segmentation, tissue recognition
and classification, and other areas of medical and healthcare
problems. Each of its chapters covers a topic in depth, ranging
from medical image synthesis and techniques for muskuloskeletal
analysis to diagnostic tools for breast lesions on digital
mammograms and glaucoma on retinal fundus images. It also provides
an overview of deep learning in medical image analysis and
highlights issues and challenges encountered by researchers and
clinicians, surveying and discussing practical approaches in
general and in the context of specific problems. Academics,
clinical and industry researchers, as well as young researchers and
graduate students in medical imaging, computer-aided-diagnosis,
biomedical engineering and computer vision will find this book a
great reference and very useful learning resource.
Mathematics education in contrast has a variable and culturally
based character, and this is certainly true of educational
organization and practice. Educational research is both an applied
social science and a multidisciplinary domain of theoretical
scholarship.
Among organizations devoted to mathematics education, The
International Commission on Mathematical Instruction (ICMI) is
distinctive because of its close ties to the mathematics community.
The great challenges now facing mathematics education around the
world demand a deeper and more sensitive involvement of
disciplinary mathematicians than we now have, both in the work of
educational improvements and in research on the nature of teaching
and learning.
This book constitutes the Proceedings of the Ninth International
Conference on Mathematical Education (ICME9), which was held in
Tokyo/Makuhari Japan, in July and August 2000. ICME9 brought
together experts from 70 countries, working to understand the
challenges of mathematics education including boundary crossing and
collaboration, such as the need to reconcile language,
epistemology, norms of evidence and, in general, all of the
intellectual and attitudinal challenges that face multidisciplinary
research and development.
The program for ICME9 reflects a truly international character
and includes four distinguished regular lectures, 52 lectures, four
national presentations and reports from current ICMI Studies and
ICMI Affiliated Study Groups. The goal of the meeting was to offer
presentations and learning on various aspects of mathematics
educations; its research, experiences, materials, and information
with special emphasis on achievements and trends thatarose in
mathematics education during the period of 1996-2000, and that
would make important contributions to mathematics education in the
new century.
This book presents cutting-edge research and applications of deep
learning in a broad range of medical imaging scenarios, such as
computer-aided diagnosis, image segmentation, tissue recognition
and classification, and other areas of medical and healthcare
problems. Each of its chapters covers a topic in depth, ranging
from medical image synthesis and techniques for muskuloskeletal
analysis to diagnostic tools for breast lesions on digital
mammograms and glaucoma on retinal fundus images. It also provides
an overview of deep learning in medical image analysis and
highlights issues and challenges encountered by researchers and
clinicians, surveying and discussing practical approaches in
general and in the context of specific problems. Academics,
clinical and industry researchers, as well as young researchers and
graduate students in medical imaging, computer-aided-diagnosis,
biomedical engineering and computer vision will find this book a
great reference and very useful learning resource.
In these meetings, which were held in honour of Professor Tosio
Kato on his retirement, the focus was on the interplay of
functional analysis and partial differential equations. Thus, the
study of Schrodinger operators, from the viewpoints of evolution
equations and spectral theory, is one major subject, while
functional analytic studies of nonlinear PDEs, including
Navier-Stokes, KdV and other equations, constitutes another main
theme. Papers on these linear and nonlinear problems are linked
through their methods and types of approach.
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Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings (Paperback, 2014 ed.)
Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu
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R3,114
Discovery Miles 31 140
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 12th
International Workshop on Breast Imaging, IWDM 2014, held in Gifu
City, Japan, in June/July 2014. The 24 revised full papers and 73
revised poster papers presented together with 6 invited talks were
carefully reviewed and selected from 122 submissions. The papers
are organized in topical sections on screening outcomes,
ultrasound, breast density, imaging physics, CAD, tomosynthesis and
ICT and image processing.
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