ResViT-GANNet: a deep learning framework for classifying breast cancer histopathology images using multimodal attention and GAN-based augmentation
Abstract Background Breast cancer remains the most commonly diagnosed malignancy among women worldwide. Histopathological image analysis is the clinical gold standard for diagnosis; however, the high resolution and complexity of these images, together with limited annotated data, pose significant ch...
| Published in: | BMC Medical Imaging |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-09-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01940-6 |
