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Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Rueckert, Tobias, Rauber, David, Maerkl, Raphaela, Klausmann, Leonard, Yildiran, Suemeyye R., Gutbrod, Max, Nunes, Danilo Weber, Moreno, Alvaro Fernandez, Luengo, Imanol, Stoyanov, Danail, Toussaint, Nicolas, Cho, Enki, Kim, Hyeon Bae, Choo, Oh Sung, Kim, Ka Young, Kim, Seong Tae, Arantes, Gonçalo, Song, Kehan, Zhu, Jianjun, Xiong, Junchen, Lin, Tingyi, Kikuchi, Shunsuke, Matsuzaki, Hiroki, Kouno, Atsushi, Manesco, João Renato Ribeiro, Papa, João Paulo, Choi, Tae-Min, Jeong, Tae Kyeong, Park, Juyoun, Alabi, Oluwatosin, Wei, Meng, Vercauteren, Tom, Wu, Runzhi, Xu, Mengya, Wang, An, Bai, Long, Ren, Hongliang, Yamlahi, Amine, Hennighausen, Jakob, Maier-Hein, Lena, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Yang, Shu, Wang, Yihui, Chen, Hao, Rodríguez, Santiago, Aparicio, Nicolás, Manrique, Leonardo, Lyons, Juan Camilo, Hosie, Olivia, Ayobi, Nicolás, Arbeláez, Pablo, Li, Yiping, Khalil, Yasmina Al, Nasirihaghighi, Sahar, Speidel, Stefanie, Rueckert, Daniel, Feussner, Hubertus, Wilhelm, Dirk, Palm, Christoph
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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