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Journal of Pathology Informatics

Published By Elsevier

  • LATEST MANUSCRIPTS IN Journal of Pathology Informatics
  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • Anatoliy Dovbysh, Ihor Shelehov, Anatolii Romaniuk, Roman Moskalenko, Taras Savchenko. Decision-making support system for diagnosis of oncopathologies by histological images. Journal of pathology informatics. 2023, 14: 100193
    Cited : 1
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  • Maryam Berijanian, Nadine S Schaadt, Boqiang Huang, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof. Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy. Journal of pathology informatics. 2023, 14: 100195
    Cited : 3
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  • Roi Nachmani, Issa Nidal, Dror Robinson, Mustafa Yassin, David Abookasis. Segmentation of polyps based on pyramid vision transformers and residual block for real-time endoscopy imaging. Journal of pathology informatics. 2023, 14: 100197
    Cited : 9
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  • Hansmann Martin-Leo, Klauschen Frederick, Samek Wojciech, Müller Klaus-Robert, Donnadieu Emmanuel, Scharf Sonja, Hartmann Sylvia, Koch Ina, Ackermann Jörg, Pantanowitz Liron, Schäfer Hendrik, Wurzel Patrick. Imaging bridges pathology and radiology. Journal of pathology informatics. 2023, 14: 100298
    Cited : 2
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  • Dibson D Gondim, Khaleel I Al-Obaidy, Muhammad T Idrees, John N Eble, Liang Cheng. Artificial intelligence-based multi-class histopathologic classification of kidney neoplasms. Journal of pathology informatics. 2023, 14: 100299
    Cited : 2
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  • Mahmoud Elkhadrawi, Oscar Lopez-Nunez, Murat Akcakaya, Sarah E Wheeler. Improving Lyme disease testing with data driven test design in pediatrics. Journal of pathology informatics. 2023, 14: 100300
    Cited : 0
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  • Frauke Wilm, Christian Ihling, Gábor Méhes, Luigi Terracciano, Chloé Puget, Robert Klopfleisch, Peter Schüffler, Marc Aubreville, Andreas Maier, Thomas Mrowiec, Katharina Breininger. Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry. Journal of pathology informatics. 2023, 14: 100301
    Cited : 3
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  • Hongtai Zhang, Zaiyi Liu, Mingli Song, Cheng Lu. Hagnifinder: Recovering magnification information of digital histological images using deep learning. Journal of pathology informatics. 2023, 14: 100302
    Cited : 1
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  • Abed Pablo, Thomas J Laha, Nathan Breit, Noah G Hoffman, Andrew N Hoofnagle, Geoffrey S Baird, Patrick C Mathias. A web application to support the coordination of reflexive, interpretative toxicology testing. Journal of pathology informatics. 2023, 14: 100303
    Cited : 0
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