Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106018
Abstract: BACKGROUND AND OBJECTIVE The capability of deep learning radiomics (DLR) to extract high-level medical imaging features has promoted the use of computer-aided diagnosis of breast mass detected on ultrasound. Recently, generative adversarial network (GAN) has… read more here.
Keywords: radiomics model; breast ultrasound; breast; semi supervised ... See more keywords
ImprovedSSGAN: Ranking Discriminator With Semi-Supervised GAN for Ordinal Information
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243340
Abstract: We propose Improved SSGAN, a multi-Generator/Discriminator semi-supervised GAN architecture to address the well-known problem of mode collapse in addition to an improved classification for ordinal information. To reduce the vulnerability of the generator to a… read more here.
Keywords: discriminator; ordinal information; supervised gan; discriminator semi ... See more keywords