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Journal of Pathology Informatics

Published By Elsevier

  • Journal of Pathology Informatics: 2024, vol: 15, issue:
  • 1)- Marie Brevet, Zaibo Li, Anil Parwani. Computational pathology in the identification of HER2-low breast cancer: Opportunities and challenges. Journal of pathology informatics. 2024, 15: 100343
    Cited : 1
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  • 2)- Dieter P Hoyer, Saskia Ting, Nina Rogacka, Sven Koitka, René Hosch, Nils Flaschel, Johannes Haubold, Eugen Malamutmann, Björn-Ole Stüben, Jürgen Treckmann, Felix Nensa, Giulia Baldini. AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump. Journal of pathology informatics. 2024, 15: 100345
    Cited : 3
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  • 3)- Jen-Fan Hang, Yen-Chuan Ou, Wei-Lei Yang, Tang-Yi Tsao, Cheng-Hung Yeh, Chi-Bin Li, En-Yu Hsu, Po-Yen Hung, Yi-Ting Hwang, Tien-Jen Liu, Min-Che Tung. Comparative evaluation of slide scanners, scan settings, and cytopreparations for digital urine cytology. Journal of pathology informatics. 2024, 15: 100346
    Cited : 3
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  • 4)- Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J V Campbell, Andrew P Norgan, Cynthia Lokker. Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review. Journal of pathology informatics. 2024, 15: 100348
    Cited : 1
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  • 5)- Edward C Klatt. Cognitive factors impacting patient understanding of laboratory test information. Journal of pathology informatics. 2024, 15: 100349
    Cited : 1
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  • 6)- Francesco Martino, Gennaro Ilardi, Silvia Varricchio, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla. A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma. Journal of pathology informatics. 2024, 15: 100354
    Cited : 3
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