activity
20232026
most citedA protocol for evaluating robustness to H&E staining variation in computational pathology models

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2023

SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction

Lydia A. Schoenpflug, Viktor H. Koelzer

Detecting and classifying cells in histopathology H\&E stained whole-slide images is a core task in computational pathology, as it provides valuable insight into the tumor microenv…

eess.IV2023

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides

Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei +1

Automating tissue segmentation and tumor detection in histopathology images of colorectal cancer (CRC) is an enabler for faster diagnostic pathology workflows. At the same time it…