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Machine Learning in Medical Imaging : 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / edited by Yinghuan Shi, Heung-Il Suk, Mingxia Liu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11046
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11046
- Language:
- English
- Subjects (All):
- Computer vision.
- Artificial intelligence.
- Medical informatics.
- Data mining.
- Computer Vision.
- Artificial Intelligence.
- Health Informatics.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Computer Vision.
- Artificial Intelligence.
- Health Informatics.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XII, 409 pages) : 154 illustrations, 138 illustrations in color.
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-00919-9
- 9783030009199
- Access Restriction:
- Restricted for use by site license.
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