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Journal of Pathology Informatics|October 21, 2022
Automated recognition of glomerular lesions in the kidneys of mice by using deep learningAiri Akatsuka, Yasushi Horai, Airi AkatsukaJournal of Pathology Informatics|October 21, 2022
Hardware and software implementation of POCT1-A for integration of point of care testing in researchNathan T P Patel, Magan R Lane, Timothy K Williams, et al.Journal of Pathology Informatics|October 21, 2022
A pathology order interface based on the transmission of texts obtained from pathology requisitions and just-in-time construction of HL7 messagesJay J Ye, Derek K Higgins, Barry L EvansJournal of Pathology Informatics|October 21, 2022
Number of necessary training examples for Neural Networks with different number of trainable parametersTh I Götz, S Göb, S Sawant, et al.Journal of Pathology Informatics|October 21, 2022
The impact of different coverslipping methods in the quality of the whole slide images used for diagnosis in pathologyDiana Ferreira, João Vale, Mónica Curado, et al.Journal of Pathology Informatics|October 21, 2022
Anatomic pathology quality assurance: Developing an LIS based tracking and documentation module for intradepartmental consultationsBilge Dundar, Stephanie J Chen, John L Blau, et al.Journal of Pathology Informatics|October 21, 2022
Computer-aided scoring of erb-b2 receptor tyrosine kinase 2 (HER2) gene amplification status in breast cancerAlyson Yoder, Landon J Inge, Chen-Chun Chen, et al.Journal of Pathology Informatics|October 21, 2022
Quantitative Nuclear Histomorphometry Predicts Molecular Subtype and Clinical Outcome in Medulloblastomas: Preliminary FindingsJon Whitney, Liisa Dollinger, Benita Tamrazi, et al.Journal of Pathology Informatics|October 21, 2022
After neoadjuvant therapy, axillary sentinel lymph node frozen sections from breast cancer patients are accurately diagnosed using telepathologyValarie McMurtry, Jane M Poretta, Rachel E FactorJournal of Pathology Informatics|October 21, 2022
Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitisLuisa Ricaurte Archila, Lindsey Smith, Hanna-Kaisa Sihvo, et al.Pageof 86