Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
2020-07-22Code Available0· sign in to hype
Siang-Ruei Wu, Hao-Yun Chang, Florence T Su, Heng-Chun Liao, Wanju Tseng, Chun-Chih Liao, Feipei Lai, Feng-Ming Hsu, Furen Xiao
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/raywu0123/Brain-Tumor-SegmentationOfficialIn paperpytorch★ 7
Abstract
Semantic segmentation of medical images with deep learning models is rapidly developed. In this study, we benchmarked state-of-the-art deep learning segmentation algorithms on our clinical stereotactic radiosurgery dataset, demonstrating the strengths and weaknesses of these algorithms in a fairly practical scenario. In particular, we compared the model performances with respect to their sampling method, model architecture, and the choice of loss functions, identifying the suitable settings for their applications and shedding light on the possible improvements.