Journal of Pathology Informatics Journal of Pathology Informatics
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Research Article: Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images
Alfonso Medela, Artzai Picon
J Pathol Inform 2020, 11:38 (26 November 2020)
DOI:10.4103/jpi.jpi_41_20  
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Original Article: Using image registration and machine learning to develop a workstation tool for rapid analysis of glomeruli in medical renal biopsies Highly accessed article
David C Wilbur, Jason R Pettus, Maxwell L Smith, Lynn D Cornell, Alexander Andryushkin, Richard Wingard, Eric Wirch
J Pathol Inform 2020, 11:37 (7 November 2020)
DOI:10.4103/jpi.jpi_49_20  
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Research Article: Reproducible color gamut of hematoxylin and eosin stained images in standard color spaces
Wei- Chung Cheng
J Pathol Inform 2020, 11:36 (6 November 2020)
DOI:10.4103/jpi.jpi_59_19  
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Research Article: Computerized image analysis of tumor cell nuclear morphology can improve patient selection for clinical trials in localized clear cell renal cell carcinoma
In Hwa Um, Lindesay Scott-Hayward, Monique Mackenzie, Puay Hoon Tan, Ravindran Kanesvaran, Yukti Choudhury, Peter D Caie, Min-Han Tan, Marie O’Donnell, Steve Leung, Grant D Stewart, David J Harrison
J Pathol Inform 2020, 11:35 (6 November 2020)
DOI:10.4103/jpi.jpi_13_20  
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Book Review: Review of “artificial intelligence and deep learning in pathology” by Stanley Cohen
Jerome Cheng
J Pathol Inform 2020, 11:34 (6 November 2020)
DOI:10.4103/jpi.jpi_66_20  
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