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Journal of Pathology Informatics|March 18, 2024
Utility of artificial intelligence in a binary classification of soft tissue tumorsJing Di, Caylin Hickey, Cody Bumgardner, et al.Journal of Pathology Informatics|September 16, 2024
Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocolAndrés Mosquera-Zamudio, Marcela Gomez-Suarez, John Sprockel, et al.Journal of Pathology Informatics|March 8, 2024
Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid reviewElzbieta Budginaite, Derek R Magee, Maximilian Kloft, et al.Journal of Pathology Informatics|August 14, 2023
Stain normalization gives greater generalizability than stain jittering in neural network training for the classification of coeliac disease in duodenal biopsy whole slide imagesB A Schreiber, J Denholm, J D Gilbey, et al.Journal of Pathology Informatics|July 31, 2023
Impact of a switch to immediate release on the patient viewing of diagnostic test results in an online portal at an academic medical centerKelly E Wood, Hanh T Pham, Knute D Carter, et al.Journal of Pathology Informatics|September 4, 2023
Predicting breast cancer-specific survival in metaplastic breast cancer patients using machine learning algorithmsYufan Feng, Natasha McGuire, Alexandra Walton, et al.Journal of Pathology Informatics|October 9, 2023
Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational costOrly Ardon, Eric Klein, Allyne Manzo, et al.Journal of Pathology Informatics|September 21, 2023
Cell projection plots: A novel visualization of bone marrow aspirate cytologyTaher Dehkharghanian, Youqing Mu, Catherine Ross, et al.Journal of Pathology Informatics|March 11, 2026
The critical role of standards for AI in digital pathology: Digital Pathology Association Concept PaperChhavi Chauhan, Anil Parwani, Vanessa Schumacher, et al.Journal of Pathology Informatics|April 17, 2026
Deep-learning-based breast cancer stage prediction from H&E-stained whole-slide images in resource-constrained settingsZsolt Bedőházi, András Biricz, Oz Kilim, et al.Pageof 86