Semi-supervised GAN-based radiomics model for data augmentation in breast ultrasound mass classification

T Pang, JHD Wong, WL Ng, CS Chan - Computer Methods and Programs …, 2021 - Elsevier
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 …
被引用次数：115 相关文章

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification

T Pang, JHD Wong, WL Ng… - Computer methods and …, 2021 - pubmed.ncbi.nlm.nih.gov
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 …

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification.

T Pang, JHD Wong, WL Ng, CS Chan - Computer Methods and …, 2021 - europepmc.org
Methods A total of 1447 ultrasound images, including 767 benign masses and 680
malignant masses were acquired from a tertiary hospital. A semi-supervised GAN model …

Semi-supervise d GAN-base d radiomics model for data augmentation in breast ultrasound mass classification

T Pang, JHD Wong, WL Ng… - Computer Methods and …, 2021 - eprints.um.edu.my
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 …

Semi-supervise d GAN-base d radiomics model for data augmentation in breast ultrasound mass classification

T Pang, JHD Wong, WL Ng… - Computer Methods and …, 2021 - eprints.um.edu.my
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 …