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FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation

Fuente: arXiv

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Bibliographic Details
Main Authors:	Bai, Jieyun, Tang, Yitong, Zhou, Zihao, Islam, Mahdi, Tabassum, Musarrat, Almar-Munoz, Enrique, Liu, Hongyu, Meng, Hui, Lv, Nianjiang, Deng, Bo, Chen, Yu, Peng, Zilun, Xiao, Yusong, Xiao, Li, Tran, Nam-Khanh, Phan-Le, Dac-Phu, Nguyen, Hai-Dang, Liu, Xiao, Hu, Jiale, Huang, Mingxu, Liang, Jitao, Feng, Chaolu, Zhang, Xuezhi, Tong, Lyuyang, Du, Bo, Pham, Ha-Hieu, Nguyen, Thanh-Huy, Xu, Min, Jiang, Juntao, Zhang, Jiangning, Liu, Yong, Hasan, Md. Kamrul, Gan, Jie, Liang, Zhuonan, Cai, Weidong, Huang, Yuxin, Luo, Gongning, Yaqub, Mohammad, Lekadir, Karim
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computational Engineering, Finance, and Science Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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