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This book includes high-quality papers presented at the Second
International Symposium on Computer Vision and Machine Intelligence
in Medical Image Analysis (ISCMM 2021), organized by Computer
Applications Department, SMIT in collaboration with Department of
Pathology, SMIMS, Sikkim, India, and funded by Indian Council of
Medical Research, during 11 – 12 November 2021. It discusses
common research problems and challenges in medical image analysis,
such as deep learning methods. It also discusses how these theories
can be applied to a broad range of application areas, including
lung and chest x-ray, breast CAD, microscopy and pathology. The
studies included mainly focus on the detection of events from
biomedical signals.
This book includes high-quality papers presented at the Symposium
2019, organised by Sikkim Manipal Institute of Technology (SMIT),
in Sikkim from 26-27 February 2019. It discusses common research
problems and challenges in medical image analysis, such as deep
learning methods. It also discusses how these theories can be
applied to a broad range of application areas, including lung and
chest x-ray, breast CAD, microscopy and pathology. The studies
included mainly focus on the detection of events from biomedical
signals.
This book includes high-quality papers presented at the Second
International Symposium on Computer Vision and Machine Intelligence
in Medical Image Analysis (ISCMM 2021), organized by Computer
Applications Department, SMIT in collaboration with Department of
Pathology, SMIMS, Sikkim, India, and funded by Indian Council of
Medical Research, during 11 - 12 November 2021. It discusses common
research problems and challenges in medical image analysis, such as
deep learning methods. It also discusses how these theories can be
applied to a broad range of application areas, including lung and
chest x-ray, breast CAD, microscopy and pathology. The studies
included mainly focus on the detection of events from biomedical
signals.
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