Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tim Rädsch"'
Autor:
Tim Rädsch, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Nicholas Schreck, A. Emre Kavur, Bünyamin Pekdemir, Tobias Roß, Annette Kopp-Schneider, Lena Maier-Hein
Publikováno v:
Nature Machine Intelligence. 5:273-283
Biomedical image analysis algorithm validation depends on high-quality annotation of reference datasets, for which labelling instructions are key. Despite their importance, their optimization remains largely unexplored. Here we present a systematic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e399a199696b9f30256169fa8377ec7e
https://doi.org/10.1038/s42256-023-00625-5
https://doi.org/10.1038/s42256-023-00625-5
Autor:
Nicholas Heller, Andrew Wood, Fabian Isensee, Tim Rädsch, Resha Teipaul, Nikolaos Papanikolopoulos, Christopher Weight
This book constitutes the Third International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 202
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b12ce8ca4cf546f4fbde29bd16aba779
https://doi.org/10.24251/hicss.2021.210
https://doi.org/10.24251/hicss.2021.210
Publikováno v:
HICSS
Label quality is an important and common problem in contemporary supervised machine learning research. Mislabeled instances in a data set might not only impact the performance of machine learning models negatively but also make it more difficult to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97991cfd6749ffa61e892822b20cc998