Insights
Welcome to our blog on research at the intersection of deep learning and microscopy data. This revolutionary combination is reshaping our understanding of diseases, powered by novel datasets and insightful research. Here, we report breakthroughs in pathology, spotlighting how AI detects early disease markers and stratifies patient conditions. Discover our latest advances in detecting rare microscopic events with potential in medicine, environmental studies and beyond. Join us as we uncover the potential of deep microscopy.
Survival Prediction on Tissue Micro Arrays [BVM 2023 paper]
Jonas Ammeling from our group recently presented a paper on[…]
The merits and weaknesses of Average Precision
The merits and weaknesses of Average Precision When you are[…]
MIDOG++ – The largest multi-domain mitotic figure dataset
TL; DR: The MIDOG++ multi-domain mitotic figure dataset sets a[…]
Reducing the annotation effort for microscopy images [MICCAI 2023 paper]
Reducing the annotation effort for microscopy images [MICCAI 2023 paper][…]
Deep Learning-based Automatic Assessment of AgNOR-Scores, measuring proliferation speed [BVM 2023 best paper]
Deep Learning-based Automatic Assessment of AgNOR-Scores, measuring proliferation speed [BVM[…]
Detection of Atypical Mitotic Figures [BVM2023 Talk]
Detection of Atypical Mitotic Figures [BVM2023 Talk] TLDR: Watch our[…]
See you at BVM in Braunschweig
See you at BVM in Braunschweig Our group will be[…]
MIDOG 2022 proceedings published
MIDOG 2022 proceedings published We are happy to report that[…]
Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology [ISBI23 paper]
Mind the Gap: Scanner-induced domain shifts pose challenges for representation[…]
Introducing deepmicroscopy.org
Introducing deepmicroscopy.org Deepmicroscopy.org is the new home for the projects[…]
