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Patch-Based Techniques in Medical Imaging : 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings / edited by Wenjia Bai, Gerard Sanroma, Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Pierrick Coupé.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11075.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11075
- Language:
- English
- Subjects (All):
- Optical data processing.
- Medical informatics.
- Artificial intelligence.
- Computers.
- Image Processing and Computer Vision.
- Health Informatics.
- Artificial Intelligence.
- Information Systems and Communication Service.
- Local Subjects:
- Image Processing and Computer Vision.
- Health Informatics.
- Artificial Intelligence.
- Information Systems and Communication Service.
- Physical Description:
- 1 online resource (X, 145 pages) : 53 illustrations.
- Edition:
- First edition 2018.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 4th International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 17 submissions. The papers are organized in the following topical sections: Image Denoising ̧ Image Registration and Matching, Image Classification and Detection, Brain Image Analysis, and Retinal Image Analysis.
- Contents:
- Image Denoising
- Image Registration and Matching
- Image Classification and Detection
- Brain Image Analysis
- Retinal Image Analysis.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-00500-9
- 9783030005009
- Access Restriction:
- Restricted for use by site license.
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