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Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman, Geert J. S. Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers and 48 more
International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Although segmentation is the most widely investigated medical image processing task, the various challenges have been organized to focus only on specific clinical tasks. We organized the Medical Segmentation Decathlon (MSD)-a biomedical image analysis challenge, in which algorithms compete in a multitude of both tasks and modalities to investigate the hypothesis that a method capable of performing well on multiple tasks will generalize well to a previously unseen task and potentially outperform a custom-designed solution. MSD results confirmed this hypothesis, moreover, MSD winner continued generalizing well to a wide range of other clinical problems for the next two years. Three main conclusions can be drawn from this study: (1) state-of-the-art image segmentation algorithms generalize well when retrained on unseen tasks; (2) consistent algorithmic performance across multiple tasks is a strong surrogate of algorithmic generalizability; (3) the training of accurate AI segmentation models is now commoditized to scientists that are not versed in AI model training.
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Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp‐Schneider, A., Landman, B. A., Litjens, G. J. S., Menze, B. H., Ronneberger, O., Summers, R. M., Ginneken, B. V., Bilello, M., Bilic, P., Christ, P. F., Gian, R. K., Gollub, M. J., Heckers, S., Huisman, H. J., Jarnagin, W. R., … Cardoso, M. J. (2022). The Medical Segmentation Decathlon. Nature Communications, 13(1), 4128. https://doi.org/10.1038/s41467-022-30695-9
Antonelli, Michela, et al. "The Medical Segmentation Decathlon." Nature Communications, vol. 13, no. 1, 2022, pp. 4128, https://doi.org/10.1038/s41467-022-30695-9.
Antonelli, Michela, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman, Geert J. S. Litjens, et al. "The Medical Segmentation Decathlon." Nature Communications 13, no. 1 (2022): 4128. https://doi.org/10.1038/s41467-022-30695-9.
Antonelli M., Reinke A., Bakas S. [и др.] The Medical Segmentation Decathlon // Nature Communications. — 2022. — Vol. 13, № 1. — P. 4128. — URL: https://doi.org/10.1038/s41467-022-30695-9
@article{antonelli2022medical,
title = {{The Medical Segmentation Decathlon}},
author = {Michela Antonelli and Annika Reinke and Spyridon Bakas and Keyvan Farahani and Annette Kopp‐Schneider and Bennett A. Landman and Geert J. S. Litjens and Bjoern H. Menze and Olaf Ronneberger and Ronald M. Summers and Bram van Ginneken and Michel Bilello and Patrick Bilic and Patrick Ferdinand Christ and Richard Kinh Gian and Marc Jeffrey Gollub and Stephan Heckers and HenkJan J. Huisman and William R. Jarnagin and Maureen McHugo and Sandy A. Napel and Jennifer S. Golia Pernicka and Kawal Rhode and Catalina Tobon‐Gomez and Eugene Vorontsov and James Meakin and Sebastien Ourselin A and Manuel Wiesenfarth and Pablo Arbeláez and Byeonguk Bae and Sihong Chen and Laura Alexandra Daza and Jianjiang Feng and Baochun He and Fabian Isensee and Yuanfeng Ji and Fucang Jia and Ildoo Kim and Klaus Hermann Maier-Hein and Dorit Merhof and Akshay Pai and Beomhee Park and Mathias Perslev and R. Rezaiifar and Oliver Rippel and Ignacio Sarasúa and Wei Shen and Jaemin Son and Christian Wachinger and Liansheng Wang and Yan Wang and Yingda Xia and Daguang Xu and Zhanwei Xu and Yefeng Zheng and Amber L. Simpson and Lena Maier‐Hein and M. Jorge Cardoso},
journal = {Nature Communications},
year = {2022},
volume = {13},
number = {1},
pages = {4128},
doi = {10.1038/s41467-022-30695-9},
url = {https://doi.org/10.1038/s41467-022-30695-9}
}TY - JOUR AU - Antonelli, Michela AU - Reinke, Annika AU - Bakas, Spyridon AU - Farahani, Keyvan AU - Kopp‐Schneider, Annette AU - Landman, Bennett A. AU - Litjens, Geert J. S. AU - Menze, Bjoern H. AU - Ronneberger, Olaf AU - Summers, Ronald M. AU - Ginneken, Bram van AU - Bilello, Michel AU - Bilic, Patrick AU - Christ, Patrick Ferdinand AU - Gian, Richard Kinh AU - Gollub, Marc Jeffrey AU - Heckers, Stephan AU - Huisman, HenkJan J. AU - Jarnagin, William R. AU - McHugo, Maureen AU - Napel, Sandy A. AU - Pernicka, Jennifer S. Golia AU - Rhode, Kawal AU - Tobon‐Gomez, Catalina AU - Vorontsov, Eugene AU - Meakin, James AU - A, Sebastien Ourselin AU - Wiesenfarth, Manuel AU - Arbeláez, Pablo AU - Bae, Byeonguk AU - Chen, Sihong AU - Daza, Laura Alexandra AU - Feng, Jianjiang AU - He, Baochun AU - Isensee, Fabian AU - Ji, Yuanfeng AU - Jia, Fucang AU - Kim, Ildoo AU - Maier-Hein, Klaus Hermann AU - Merhof, Dorit AU - Pai, Akshay AU - Park, Beomhee AU - Perslev, Mathias AU - Rezaiifar, R. AU - Rippel, Oliver AU - Sarasúa, Ignacio AU - Shen, Wei AU - Son, Jaemin AU - Wachinger, Christian AU - Wang, Liansheng AU - Wang, Yan AU - Xia, Yingda AU - Xu, Daguang AU - Xu, Zhanwei AU - Zheng, Yefeng AU - Simpson, Amber L. AU - Maier‐Hein, Lena AU - Cardoso, M. Jorge TI - The Medical Segmentation Decathlon JO - Nature Communications VL - 13 IS - 1 SP - 4128 PY - 2022 DA - 2022/07/15 DO - 10.1038/s41467-022-30695-9 UR - https://doi.org/10.1038/s41467-022-30695-9 ER -
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