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Journal of Pathology Informatics|July 2, 2024
A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancerSushant Patkar, Stephanie Harmon, Isabell Sesterhenn, et al.
Journal of Pathology Informatics|March 25, 2024
Quantitative digital pathology enables automated and quantitative assessment of inflammatory activity in patients with autoimmune hepatitisPiotr Socha, Elizabeth Shumbayawonda, Abhishek Roy, et al.
Journal of Pathology Informatics|January 31, 2024
Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgeryBenoit Schmauch, Sarah S Elsoukkary, Amika Moro, et al.
Journal of Pathology Informatics|January 31, 2024
Use of n-grams and K-means clustering to classify data from free text bone marrow reportsRichard F Xiang
Journal of Pathology Informatics|October 22, 2024
ViCE: An automated and quantitative program to assess intestinal tissue morphologyJeffrey La, Krishnan Raghunathan, Jocelyn A Silvester, et al.
Journal of Pathology Informatics|May 9, 2025
Erratum to "Analysis of the three-year work of a digital pathomorphological laboratory built from the ground" [Journal of Pathology Informatics Volume 13, 2022, 100111]Rudenko Ekaterina Evgenievna, Demura Tatiana Alexandrovna, Vekhova Ksenia Andreevna, et al.
Journal of Pathology Informatics|May 9, 2025
Technical note: Impact of tissue section thickness on accuracy of cell classification with a deep learning networkIda Skovgaard Christiansen, Rasmus Hartvig, Thomas Hartvig Lindkær Jensen
Journal of Pathology Informatics|March 27, 2025
PARAFFIN: A software tool for Pathology Report Automated Feedback for Improved Education of anatomic pathology traineesClarissa E Jordan, Justin E Juskewitch, Andrew P Norgan
Journal of Pathology Informatics|April 16, 2025
PIRO: A web-based search platform for pathology reports, leveraging large language models to generate discrete searchable insightsScott Robertson, Venkata Koppireddy, Jeremy Cumbo, et al.
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