Hybrid CNN-Transformer Architecture With Xception-Based Feature Enhancement for Accurate Breast Cancer Classification
Breast cancer is one of the most common causes of death in women worldwide. While accurate diagnosis it from histopathological images is vital, the process often relies heavily on pathologists’ skills, leading to inconsistent results and lengthy evaluation times. To address this, computer...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10794751/ |
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