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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part II / edited by Alessandro Crimi, Spyridon Bakas.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11993
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11993
- Language:
- English
- Subjects (All):
- Computer vision.
- Machine learning.
- Application software.
- Pattern recognition systems.
- Computers.
- Computer Vision.
- Machine Learning.
- Computer and Information Systems Applications.
- Automated Pattern Recognition.
- Computing Milieux.
- Local Subjects:
- Computer Vision.
- Machine Learning.
- Computer and Information Systems Applications.
- Automated Pattern Recognition.
- Computing Milieux.
- Physical Description:
- 1 online resource (XVI, 398 pages) : 174 illustrations, 148 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- The two-volume set LNCS 11992 and 11993 constitutes the thoroughly refereed proceedings of the 5th International MICCAI Brainlesion Workshop, BrainLes 2019, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge, as well as the tutorial session on Tools Allowing Clinical Translation of Image Computing Algorithms (TACTICAL). These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Shenzhen, China, in October 2019. The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (12 selected papers from 32 submissions); brain tumor image segmentation (57 selected papers from 102 submissions); combined MRI and pathology brain tumor classification (4 selected papers from 5 submissions); tools allowing clinical translation of image computing algorithms (2 selected papers from 3 submissions.).
- Contents:
- Brain Lesion Image Analysis
- Brain Tumor Image Segmentation
- Combined MRI and Pathology Brain Tumor Classification
- Tools Allowing Clinical Translation of Image Computing Algorithms.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-46643-5
- 9783030466435
- Access Restriction:
- Restricted for use by site license.
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