Robustness study of noisy annotation in deep learning based medical image segmentation.

This study suggests that the involved network is robust to noisy annotation to some extent in mandible segmentation from CT images. It also highlights the importance of labeling quality in deep learning. In the future work, extra attention should be paid on how to utilize a small number of reference standard samples to improve the performance of deep learning with noisy annotation.
PMID: 32503027 [PubMed - as supplied by publisher]

Source: Physics in Medicine and Biology - June 4, 2020 Category: Physics Authors: Yu S, Chen M, Zhang E, Wu J, Yu H, Yang Z, Ma L, Gu X, Lu W Tags: Phys Med Biol Source Type: research