3 papers
eess.IV2024
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…
cs.CV2024
Universal Medical Image Representation Learning with Compositional Decoders
Kaini Wang, Ling Yang, Siping Zhou +4
Visual-language models have advanced the development of universal models, yet their application in medical imaging remains constrained by specific functional requirements and the l…
cs.CV2024
TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection
Kaini Wang, Haolin Wang, Guang-Quan Zhou +4
CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps wi…