Jiebo Luo's Books

Deep Network Design for Medical Image Computing

Principles and Applications

By: Haofu Liao,S. Kevin Zhou,Jiebo Luo

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Deep Network Design for Medical Image Computing

Principles and Applications

By: Haofu Liao,S. Kevin Zhou,Jiebo Luo

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. - Explains design principles of deep learning techniques for MIC - Contains cutting-edge deep learning research on MIC - Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images

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Page Count

266

Publisher

Academic Press

Published Date

ISBN 10

0128244038

ISBN 13

9780128244036

Deep Network Design for Medical Image Computing

Principles and Applications

By: Haofu Liao,S. Kevin Zhou,Jiebo Luo

Write a review Read reviews Take a Quiz Solve Book Puzzle

Deep Network Design for Medical Image Computing

Principles and Applications

By: Haofu Liao,S. Kevin Zhou,Jiebo Luo

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

266

Publisher

Academic Press

Published Date

ISBN 10

0128244038

ISBN 13

9780128244036

Interactive Co-segmentation of Objects in Image Collections

By: Dhruv Batra,Adarsh Kowdle,Devi Parikh,Jiebo Luo,Tsuhan Chen

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Interactive Co-segmentation of Objects in Image Collections

By: Dhruv Batra,Adarsh Kowdle,Devi Parikh,Jiebo Luo,Tsuhan Chen

The authors survey a recent technique in computer vision called Interactive Co-segmentation, which is the task of simultaneously extracting common foreground objects from multiple related images. They survey several of the algorithms, present underlying common ideas, and give an overview of applications of object co-segmentation.

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