Posts in Research
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.
Leveraging Image Captions for Streamlining Histopathology Image Annotation [MICCAI 2024 paper]
Counting mitotic figures (MFs) under a microscope is a crucial[…]
MIDL 2024 – An unofficial peek into the peer review results
A brief analysis of the review process at Medical Imaging[…]
Focus on Content not Noise: Suppressing CycleGAN Steganography for Microscopy Image Generation
Are you tired of painstakingly annotating nuclei in microscopy images[…]
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[…]
See you at BVM in Braunschweig
See you at BVM in Braunschweig Our group will be[…]
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[…]
