%0 Journal Article %1 journals/mia/LalehMLESMLTLDB22 %A Laleh, Narmin Ghaffari %A Muti, Hannah Sophie %A Loeffler, Chiara Maria Lavinia %A Echle, Amelie %A Saldanha, Oliver Lester %A Mahmood, Faisal %A Lu, Ming Y. %A Trautwein, Christian %A Langer, Rupert %A Dislich, Bastian %A Bülow, Roman David %A Grabsch, Heike Irmgard %A Brenner, Hermann %A Chang-Claude, Jenny %A Alwers, Elizabeth %A Brinker, Titus J. %A Khader, Firas %A Truhn, Daniel %A Gaisa, Nadine T. %A Boor, Peter %A Hoffmeister, Michael %A Schulz, Volkmar %A Kather, Jakob Nikolas %D 2022 %J Medical Image Anal. %K dblp %P 102474 %T Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. %U http://dblp.uni-trier.de/db/journals/mia/mia79.html#LalehMLESMLTLDB22 %V 79

@article{journals/mia/LalehMLESMLTLDB22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Laleh, Narmin Ghaffari and Muti, Hannah Sophie and Loeffler, Chiara Maria Lavinia and Echle, Amelie and Saldanha, Oliver Lester and Mahmood, Faisal and Lu, Ming Y. and Trautwein, Christian and Langer, Rupert and Dislich, Bastian and Bülow, Roman David and Grabsch, Heike Irmgard and Brenner, Hermann and Chang-Claude, Jenny and Alwers, Elizabeth and Brinker, Titus J. and Khader, Firas and Truhn, Daniel and Gaisa, Nadine T. and Boor, Peter and Hoffmeister, Michael and Schulz, Volkmar and Kather, Jakob Nikolas}, biburl = {https://www.bibsonomy.org/bibtex/2c0ba6e02ae15a865e167989b79d3368d/dblp}, ee = {https://doi.org/10.1016/j.media.2022.102474}, interhash = {d67f750d0506eefe9b6b34851cf48e86}, intrahash = {c0ba6e02ae15a865e167989b79d3368d}, journal = {Medical Image Anal.}, keywords = {dblp}, pages = 102474, timestamp = {2024-04-08T15:55:01.000+0200}, title = {Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.}, url = {http://dblp.uni-trier.de/db/journals/mia/mia79.html#LalehMLESMLTLDB22}, volume = 79, year = 2022 }