Synthetic augmentation for semantic segmentation of class imbalanced biomedical images: A data pair generative adversarial network approach.
Chai L, Wang Z, Chen J, Zhang G, Alsaadi FE, Alsaadi FE, Liu Q.
Chai L, et al.
Comput Biol Med. 2022 Nov;150:105985. doi: 10.1016/j.compbiomed.2022.105985. Epub 2022 Sep 6.
Comput Biol Med. 2022.
PMID: 36137319
Subsequently, to alleviate the influence from the imbalance between lesions and non-lesions areas in biomedical segmentation data sets, we divide the DPGAN into three stages, namely, background stage, mask stage and advanced stage, with each stage deploying a VAEGAN. In su …
Subsequently, to alleviate the influence from the imbalance between lesions and non-lesions areas in biomedical segmentation data sets, we d …