Testing MiniMax M3: Reproducing a Deep‑Learning Paper and Building an End‑to‑End Medical Image Segmentation App
The author evaluates MiniMax M3 by reproducing the 2021 TransUNet medical image segmentation paper, troubleshooting data and training issues, achieving near‑paper Dice scores, and then engineering a full‑stack React‑FastAPI application to demonstrate the model’s practical capabilities and cost.
