A. Emre Kavur

Feb 12, 2024 | nature.com | Annika Reinke |Minu Tizabi |Michael Baumgartner |A. Emre Kavur |Tim Rädsch |Laura Acion | +36 more

AbstractValidation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately.

Feb 12, 2024 | nature.com | Annika Reinke |Minu Tizabi |Michael Baumgartner |A. Emre Kavur |Tim Rädsch |Laura Acion | +36 more

AbstractValidation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately.

Mar 2, 2023 | nature.com | Annika Reinke |Annette Kopp-Schneider |Tim Rädsch |A. Emre Kavur

AbstractBiomedical 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 study of labelling instructions and their impact on annotation quality in the field.