Computer Vision and Machine Intelligence in Medical Image Analysis
International Symposium, ISCMM 2019
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Beschreibung
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 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.
Covers the latest trends in computer vision and hybrid machine learning paradigms for medical image analysis Includes related topics like magnetic resonance, computed tomography, optical and confocal microscopy, and video and range data images Is useful for technologists, scientists, industry professionals and researchers
Autor*in
Mousumi Gupta
Themen in »Computer Vision and Machine Intelligence in Medical Image Analysis«
Medical Image Segmentation Data Augmentation Medical Image Reconstruction Deep Learning Machine Learning Compression Texture