arXiv:1807.05979
Lesion Analysis and Diagnosis with Mask-RCNN
원문 초록
This project applies Mask R-CNN method to ISIC 2018 challenge tasks: lesion boundary segmentation (task1), lesion attributes detection (task 2), lesion diagnosis (task 3), a solution to the latter is using a trained model for task 1 and a simple voting procedure.
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토론
이 논문과 연결된 포럼 글이 아직 없습니다.