2 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
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment
Haisheng Lu, Yujie Fu, Fan Zhang +1
Medical image segmentation is a critical component of clinical practice, and the state-of-the-art MedSAM model has significantly advanced this field. Nevertheless, critiques highli…