Zhang Graph Learning in Medical Imaging

Graph Learning in Medical Imaging

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First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

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Beschreibung

This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.

The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.

Autor*in

Daoqiang Zhang

Themen in »Graph Learning in Medical Imaging«

artificial intelligence computer aided diagnosis computer networks computer systems computer vision deep learning graph theory image processing image reconstruction image segmentation machine learning mathematics medical image analysis medical imaging data analytics molecular imaging

Stimmen zu »Graph Learning in Medical Imaging«

Details

ISBN: 9783030358174
Verlag: Springer International Publishing
Erscheinung: 13.11.2019

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