A tuned DeepLabv3 achieves 97.5% IoU on iPS colony segmentation, outpacing SAM2 (81.0%) and MedSAM2 (63.5%) under the authors' test conditions.
Improving the reliability of semantic segmentation of medical images by uncertainty modeling with Bayesian deep networks and curriculum learning,
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Semantic Segmentation of iPS Cells: Case Study on Model Complexity in Biomedical Imaging
A tuned DeepLabv3 achieves 97.5% IoU on iPS colony segmentation, outpacing SAM2 (81.0%) and MedSAM2 (63.5%) under the authors' test conditions.