Understanding metric-related pitfalls in image analysis validation

Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in image analysis, metrics are often chosen inadequatel...

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Veröffentlicht in:	ArXiv 2024-02
Hauptverfasser:	Reinke, Annika, Tizabi, Minu D, Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Kavur, A Emre, Rädsch, Tim, Sudre, Carole H, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M Jorge, Cheplygina, Veronika, Chen, Jianxu, Christodoulou, Evangelia, Cimini, Beth A, Collins, Gary S, Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hashimoto, Daniel A, Hoffman, Michael M, Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E, Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kleesiek, Jens, Kofler, Florian, Kooi, Thijs, Kopp-Schneider, Annette, Kozubek, Michal, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A, Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L, Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G M, Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rafelski, Susanne M, Rajpoot, Nasir, Reyes, Mauricio, Riegler, Michael A, Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I, Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M, Taha, Abdel A, Tiulpin, Aleksei, Tsaftaris, Sotirios A, Calster, Ben Van, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R, Jäger, Paul F, Maier-Hein, Lena
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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