FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
Published in IEEE Transactions on Medical Imaging, 2026
Benchmark study evaluating semi-supervised learning methods for cervical segmentation in fetal ultrasound, based on the Fetal Ultrasound Grand Challenge (FUGC).
Authors: Jun Bai, Yiqun Tang, Zongwei Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Muñoz, et al.
Venue: IEEE Transactions on Medical Imaging
Recommended citation: Jun Bai, Yiqun Tang, Zongwei Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Muñoz, et al. "FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation." IEEE Transactions on Medical Imaging, 2026.
Recommended citation: Jun Bai, Yiqun Tang, Zongwei Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Muñoz, et al. "FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation." IEEE Transactions on Medical Imaging, 2026.