HFS-TriNet applies heuristic frame selection and a three-branch network (ResNet50, SAM-based with temporal attention, WTCR) to classify prostate cancer from TRUS videos.
An enhanced multiscale generation and depth-perceptual loss-based super-resolution network for prostate ultrasound images
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HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos
HFS-TriNet applies heuristic frame selection and a three-branch network (ResNet50, SAM-based with temporal attention, WTCR) to classify prostate cancer from TRUS videos.