Semi-Supervised Transformer-Based Cervical Segmentation: FUGC 2025 Challenge
Published in IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
Semi-supervised transformer-based approach for cervical segmentation submitted to the Fetal Ultrasound Grand Challenge (FUGC) 2025, part of the team that ranked 5th internationally.
Authors: Mahdi Islam, Musarrat Tabassum, Marta Elbatel, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Muñoz
Venue: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
Recommended citation: Mahdi Islam, Musarrat Tabassum, Marta Elbatel, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Muñoz. "Semi-Supervised Transformer-Based Cervical Segmentation: FUGC 2025 Challenge." IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025.
Recommended citation: Mahdi Islam, Musarrat Tabassum, Marta Elbatel, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Muñoz. "Semi-Supervised Transformer-Based Cervical Segmentation: FUGC 2025 Challenge." IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025.