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

Fuente: arXiv
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Bibliographic Details
Main Authors: 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
Published: 2026
Subjects:
Computer Vision and Pattern Recognition
Online Access:
Acceder al recurso
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