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cs.CV2023
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
Jingna Qiu, Frauke Wilm, Mathias Öttl +5
The process of annotating histological gigapixel-sized whole slide images (WSIs) at the pixel level for the purpose of training a supervised segmentation model is time-consuming. R…
cs.CV2022★ 1 cited
End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology
Marvin Teichmann, Andre Aichert, Hanibal Bohnenberger +2
Current approaches for classification of whole slide images (WSI) in digital pathology predominantly utilize a two-stage learning pipeline. The first stage identifies areas of inte…