Semi-supervise d GAN-base d radiomics model for data augmentation in breast ultrasound mass classification
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 aided in tackling a general issue in DLR...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/26625/ |
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