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Brain Tumor Segmentation Based on 3D Residual U-Net by Megh Bhalerao; Siddhesh Thakur is a book available to read on EtoBox.

What is Brain Tumor Segmentation Based on 3D Residual U-Net about?

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.)

Author

Megh Bhalerao; Siddhesh Thakur

Publisher

Springer International Publishing : Imprint: Springer

Published

2020

Language

EN

ISBN

9783030466398

Subjects

Business, Computer Science, Mathematics