most citedGraph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation

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eess.IV2026

FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation

Jieyun Bai, Yitong Tang, Zihao Zhou +36

Accurate segmentation of cervical structures in transvaginal ultrasound (TVS) is critical for assessing the risk of spontaneous preterm birth (PTB), yet the scarcity of labeled dat…

eess.IV2025★ 1 cited

Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation

Ha-Hieu Pham, Minh Le, Han Huynh +2

Semi-supervised semantic segmentation (SSSS) is vital in computational pathology, where dense annotations are costly and limited. Existing methods often rely on pixel-level consist…