resvitm-net

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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.

computer-vision deep-learning cnn pytorch medical-imaging vit tuberculosis-detection resvitm-net

Updated Jan 22, 2026
Python

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