Vanilla-Yukirin/ResViTM-Net
ResViTM-Net: A novel hybrid deep learning model for automated Tuberculosis (TB) detection. It cleverly combines local features from CNNs, global context from ViTs, and patient clinical prior information. Achieved 96.0% overall accuracy and significantly faster training speed on three public datasets.
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3
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Language
Python
License
GPL-3.0
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Last pushed
Jan 22, 2026
Commits (30d)
0
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