4 papers
BioimageAIpub: a toolbox for AI-ready bioimaging data publishing
Stefan Dvoretskii, Anwai Archit, Constantin Pape +2
Modern bioimage analysis approaches are data hungry, making it necessary for researchers to scavenge data beyond those collected within their (bio)imaging facilities. In addition t…
Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
Carolin Teuber, Anwai Archit, Constantin Pape
Segmentation is an important analysis task for biomedical images, enabling the study of individual organelles, cells or organs. Deep learning has massively improved segmentation me…
Segment Anything for Histopathology
Titus Griebel, Anwai Archit, Constantin Pape
Nucleus segmentation is an important analysis task in digital pathology. However, methods for automatic segmentation often struggle with new data from a different distribution, req…
MedicoSAM: Robust Improvement of SAM for Medical Imaging
Anwai Archit, Luca Freckmann, Constantin Pape
Medical image segmentation is an important analysis task in clinical practice and research. Deep learning has massively advanced the field, but current approaches are mostly based…