Your question is Fine-Tuning SAM for Low-Contrast Medical Imaging. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What are the primary failure modes of the Segment Anything Model when applied to low-contrast medical imaging, and how would you fine-tune it to mitigate these issues?