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TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT

Fuente: arXiv
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Auteurs principaux: Elbatel, Marawan, Ghonim, Mohamed, Mao, Jiaji, Lin, Zhuosheng, Eckstein, Katharina, Mora, Andrés Martínez, Deissler, Jonathan, Rokuss, Maximilian, Ulrich, Constantin, Marinov, Zdravko, Deng, Wenhui, Li, Baoxun, Hu, Huijun, Shen, Jun, Ghonim, Mohanad, Nassar, Khadiga Omar, Elbakry, Mariam, Dyab, Menna, Salem, Amr Muhammad Abdo, Elghitany, Nouran, Elghitany, Noha, Qin, Yi, Huang, Xuanqi, Wang, Haonan, Yen, Shao-Woo, Saba, Ahmed Elghamry, Ahmad, Salma, Fang, Xinyan, Zhang, Jiahao, Wang, Xiaodi, Ma, Xinghua, Luo, Gongning, Delmoral, Jessica C., Tavares, João Manuel R. S., Deria, Ankan, Dukre, Adinath, Xie, Yutong, Razzak, Imran, Kim, Dongwook, Choi, Matthew, Zhang, Hanxiao, Zhang, Minghui, You, Xin, Qayyum, Abdul, Niederer, Steven A., Mazher, Moona, Hamadache, Rachika E., Montoya-del-Angel, Ricardo, Martí, Robert, Lladó, Xavier, Musah, Toufiq, Ayivor, Livingstone Eli, Almar-Munoz, Enrique, Mayr, Agnes, Mouheb, Kaouther, Bron, Esther E., Klein, Stefan, Abouelhoda, Ahmed, Adel, Amira, Ali, Susan Adil, Stiefelhagen, Rainer, Maier-Hein, Klaus H., Isensee, Fabian, Yassin, Aya, Li, Xiaomeng
Format: Preprint
Publié: 2026
Sujets:
Computer Vision and Pattern Recognition
Accès en ligne:
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