TeF-SAM: Prototype memory for medical lesion segmentation with text-free inference.
Experimental results show that TeF-SAM achieves competitive segmentation performance using only 1%-15% of the available paired reports and requires no text input during inference, and this work introduces Prototype-Driven Regional Lesion Detection (PRLD), which combines prototype-level semantic responses with multi-sca...