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.

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