Witten/Herdecke University

most citedHisto-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma

1 citations

researchers with a paper here

Katarzyna Bożek2 profiles2 · h 7
A. Fröhlich1 · h 8
A. Kreuter1 · h 3
C. Lorenz1 · h 9
C. Schummer1 · h 3
Doris Helbig1 · h 2
Falk Howar1 · h 1
G. Wess1 · h 34
I. Ljungvall1 · h 28
J. Brägelmann1 · h 2
Jennifer Landsberg1 · h 2
J. Häggström1 · h 1

collaborating institutions

Boehringer Ingelheim (China)CN1 paper
Boehringer Ingelheim (Germany)DE1 paper
Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated DiseasesDE1 paper
Fraunhofer Institute for Software and Systems EngineeringDE1 paper
HELIOS St. Elisabeth Klinik OberhausenDE1 paper
Ludwig-Maximilians-Universität MünchenDE1 paper
Paracelsus Medical UniversityAT1 paper
Swedish University of Agricultural SciencesSE1 paper
Technical University of MunichDE1 paper
TU Dortmund UniversityDE1 paper
University Hospital BonnDE1 paper
University Hospital CologneDE1 paper

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cs.CV2026★ 1 cited

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma

Recent advancements in digital pathology have enabled comprehensive analysis of Whole-Slide Images (WSI) from tissue samples, leveraging high-resolution microscopy and computationa…