U-Net with combined binary cross-entropy and soft Jaccard loss segments the tidemark in PTA-stained micro-CT images, achieving IoU scores of 0.59–0.86 at increasing padded distances on cross-validation of 35 samples.
Osteoarthritis and cartilage 27(1), 172–180 (2019)
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Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
U-Net with combined binary cross-entropy and soft Jaccard loss segments the tidemark in PTA-stained micro-CT images, achieving IoU scores of 0.59–0.86 at increasing padded distances on cross-validation of 35 samples.