Automatic Segmentation of MR Brain Images With a Convolutional Neural Network 论文
2016IEEE Transactions on Medical Imaging引用 772
Fetal and Pediatric Neurological DisordersMedical Image Segmentation TechniquesNeonatal and fetal brain pathology
详细信息
- 发表期刊/会议
- IEEE Transactions on Medical Imaging
- 发表日期
- 2016-03-30
- 发表年份
- 2016
关键词
Fetal and Pediatric Neurological DisordersMedical Image Segmentation TechniquesNeonatal and fetal brain pathology
摘要
-weighted images of young adults acquired at an average age of 23 years. The method obtained the following average Dice coefficients over all segmented tissue classes for each data set, respectively: 0.87, 0.82, 0.84, 0.86, and 0.91. The results demonstrate that the method obtains accurate segmentations in all five sets, and hence demonstrates its robustness to differences in age and acquisition protocol.