Token Mixing for Breast Cancer Diagnosis: Pre-Trained MLP-Mixer Models on Mammograms
Breast cancer remains a leading cause of mortality among women, necessitating accurate and computationally efficient diagnostic solutions. Deep learning, particularly convolutional neural networks (CNNs), has significantly advanced mammographic analysis by automating feature extraction and improving...
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| Main Authors: | Hosameldin O. A. Ahmed, Asoke K. Nandi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11075669/ |
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