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

Fuente: arXiv
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Detalles Bibliográficos
Autores principales: 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
Formato: Preprint
Publicado: 2026
Materias:
Computer Vision and Pattern Recognition
Acceso en línea:
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