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Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos

Fuente: arXiv

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Bibliographic Details
Main Authors:	Bai, Jieyun, Zhou, Zihao, Tang, Yitong, Gan, Jie, Liang, Zhuonan, Fan, Jianan, Mcguire, Lisa B., Clarke, Jillian L., Cai, Weidong, Spurway, Jacaueline, Tang, Yubo, Wang, Shiye, Shen, Wenda, Yu, Wangwang, Li, Yihao, Zhang, Philippe, Jiang, Weili, Li, Yongjie, Nasim, Salem Muhsin Ali Binqahal Al, Abzhanov, Arsen, Saeed, Numan, Yaqub, Mohammad, Xian, Zunhui, Lin, Hongxing, Lan, Libin, Ramesh, Jayroop, Bacher, Valentin, Eid, Mark, Kalabizadeh, Hoda, Rupprecht, Christian, Namburete, Ana I. L., Yeung, Pak-Hei, Wyburd, Madeleine K., Dinsdale, Nicola K., Serikbey, Assanali, Li, Jiankai, Chen, Sung-Liang, Hu, Zicheng, Liu, Nana, Deng, Yian, Hu, Wei, Tan, Cong, Zhang, Wenfeng, Nhi, Mai Tuyet, Koehler, Gregor, Stock, Rapheal, Maier-Hein, Klaus, Elbatel, Marawan, Li, Xiaomeng, Slimani, Saad, Campello, Victor M., Ohene-Botwe, Benard, Khobo, Isaac, Huang, Yuxin, Han, Zhenyan, Hou, Hongying, Qiu, Di, Zheng, Zheng, Luo, Gongning, Ni, Dong, Lu, Yaosheng, Lekadir, Karim, Li, Shuo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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