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Predictive intelligence in medicine : second International Workshop, PRIME 2019, held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /

This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this...

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Bibliographic Details
Corporate Authors: PRIME Workshop Shenzhen Shi, China; International Conference on Medical Image Computing and Computer-Assisted Intervention Shenzhen Shi, China
Group Author: Rekik, Islem; Adeli, Ehsan; Park, Sang Hyun
Published: Springer,
Publisher Address: Cham, Switzerland :
Publication Dates: [2019]
Literature type: Book
Language: English
Series: Lecture notes in computer science, 11843
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Subjects:
Artificial intelligence > Medical applications > Congresses
Summary: This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Item Description: International conference proceedings.
Carrier Form: xiii, 178 pages : illustrations, forms ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9783030322809 (paperback) :
Index Number: R859
CLC: TP18-532
R319-532
Call Number: R319-532/P923-1/2019
Contents: Intro; Preface; What Are the Key Challenges We Aim to Address?; Key Highlights; Organization; Contents; TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data; 1 Introduction; 2 Competition Design; 3 ADNI Data Aggregation and Processing; 3.1 TADPOLE Datasets; 4 Submissions and Evaluation; 5 Results; 6 Discussion; References; Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study; 1 Introduction; 2 Background; 3 Method; 3.1 Pretreatment Phase; 3.2 Online Motion Prediction; 4 Experiments and Results

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