1 citations · 1 across the 1 of their papers we have counts for
4 papers
Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
Elena Buglakova, Anwai Archit, Edoardo D'Imprima +3
Segmentation of very large images is a common problem in microscopy, medical imaging or remote sensing. The problem is usually addressed by sliding window inference, which can theo…
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…