Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

Autor: Tomar, Dhananjay, Binder, Alexander, Kleppe, Andreas

Domain generalisation in computational histopathology is challenging because the images are substantially affected by differences among hospitals due to factors like fixation and staining of tissue and imaging equipment. We hypothesise that focusing

Externí odkaz: http://arxiv.org/abs/2411.09373

Common Limitations of Image Processing Metrics: A Picture Story

Autor: Reinke, Annika, Tizabi, Minu D., Sudre, Carole H., Eisenmann, Matthias, Rädsch, Tim, Baumgartner, Michael, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Bankhead, Peter, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M. Jorge, Chen, Jianxu, Cheplygina, Veronika, Christodoulou, Evangelia, Cimini, Beth, Collins, Gary S., Engelhardt, Sandy, Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hamprecht, Fred, Hashimoto, Daniel A., Heckmann-Nötzel, Doreen, Hirsch, Peter, Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kavur, A. Emre, Kenngott, Hannes, Kleesiek, Jens, Kleppe, Andreas, Kohler, Sven, Kofler, Florian, Kopp-Schneider, Annette, Kooi, Thijs, 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, Moher, David, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Noyan, M. Alican, Petersen, Jens, Polat, Gorkem, Rafelski, Susanne M., Rajpoot, Nasir, Reyes, Mauricio, Rieke, Nicola, Riegler, Michael, Rivaz, Hassan, Saez-Rodriguez, Julio, Sánchez, Clara I., Schroeter, Julien, Saha, Anindo, Selver, M. Alper, Sharan, Lalith, Shetty, Shravya, van Smeden, Maarten, Stieltjes, Bram, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Jäger, Paul, Maier-Hein, Lena

While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation. Performance metrics are particularly key for meaningful, objective, and transparent performan

Externí odkaz: http://arxiv.org/abs/2104.05642

A clinical decision support system optimising adjuvant chemotherapy for colorectal cancers by integrating deep learning and pathological staging markers: a development and validation study

Autor: Kleppe, Andreas, Skrede, Ole-Johan, De Raedt, Sepp, Hveem, Tarjei S, Askautrud, Hanne A, Jacobsen, Jørn E, Church, David N, Nesbakken, Arild, Shepherd, Neil A, Novelli, Marco, Kerr, Rachel, Liestøl, Knut, Kerr, David J, Danielsen, Håvard E ^*

Publikováno v: In The Lancet Oncology September 2022 23(9):1221-1232

Undervisning for dybdelæring med bruk av modeller i naturfag

Autor: Kleppe, Andreas Finsveen

Externí odkaz: https://hdl.handle.net/11250/3075719

DNA ploidy and PTEN as biomarkers for predicting aggressive disease in prostate cancer patients under active surveillance

Autor: Cyll, Karolina Urszula, Haug, Erik Skaaheim, Pradhan, Manohar, Vlatkovic, Ljijana, Carlsen, Birgitte, Löffeler, Sven, Kildal, Wanja, Skogstad, Karin, Torkelsen, Frida Hauge, Syvertsen, Rolf Anders, Askautrud, Hanne Arenberg, Liestøl, Knut, Kleppe, Andreas, Danielsen, Håvard Emil Greger

Publikováno v: Cyll, Karolina Urszula Haug, Erik Skaaheim Pradhan, Manohar Vlatkovic, Ljijana Carlsen, Birgitte Löffeler, Sven Kildal, Wanja Skogstad, Karin Torkelsen, Frida Hauge Syvertsen, Rolf Anders Askautrud, Hanne Arenberg Liestøl, Knut Kleppe, Andreas Danielsen, Håvard Emil Greger . DNA ploidy and PTEN as biomarkers for predicting aggressive disease in prostate cancer patients under active surveillance. British Jo
British Jo

Externí odkaz: http://hdl.handle.net/10852/111962