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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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Bibliographic Details
Main Authors:	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
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2507.16559