21 citations · 33 across the 3 of their papers we have counts for
3 papers
Staining normalization in histopathology: Method benchmarking using multicenter dataset
Umair Khan, Jouni Härkönen, Marjukka Friman +3
Hematoxylin and Eosin (H&E) has been the gold standard in tissue analysis for decades, however, tissue specimens stained in different laboratories vary, often significantly, in app…
Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen +4
In routine colorectal cancer management, histologic samples stained with hematoxylin and eosin are commonly used. Nonetheless, their potential for defining objective biomarkers for…
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer
Liisa Petäinen, Juha P. Väyrynen, Pekka Ruusuvuori +3
Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of…