activity
20222024
most citedRecommendations on test datasets for evaluating AI solutions in pathology

78 citations · 167 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Volumetric Reconstruction of Prostatectomy Specimens from Histology

Tom Bisson, Isil Dogan O, Iris Piwonski +7

Surgical treatment for prostate cancer often involves organ removal, i.e., prostatectomy. Pathology reports on these specimens convey treatment-relevant information. Beyond these r…

cs.CY2024★ 16 cited

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative

Norman Zerbe, Lars Ole Schwen, Christian Geißler +17

Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially. However, integration into routine clinical practice has been slow due to numero…

cs.HC2023★ 55 cited

Digitization of Pathology Labs: A Review of Lessons Learned

Lars Ole Schwen, Tim-Rasmus Kiehl, Rita Carvalho +2

Pathology laboratories are increasingly using digital workflows. This has the potential of increasing lab efficiency, but the digitization process also involves major challenges. S…

cs.CY2022★ 18 cited

Anonymization of Whole Slide Images in Histopathology for Research and Education

Tom Bisson, Michael Franz, Isil Dogan O +4

Objective: The exchange of health-related data is subject to regional laws and regulations, such as the General Data Protection Regulation (GDPR) in the EU or the Health Insurance…

eess.IV2022★ 78 cited

Recommendations on test datasets for evaluating AI solutions in pathology

André Homeyer, Christian Geißler, Lars Ole Schwen +27

Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to…