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Review

Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology

1
Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
2
Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(4), 797; https://doi.org/10.3390/cancers12040797
Received: 25 February 2020 / Revised: 20 March 2020 / Accepted: 24 March 2020 / Published: 26 March 2020
(This article belongs to the Collection Application of Bioinformatics in Cancers)
Digital Pathology is the process of converting histology glass slides to digital images using sophisticated computerized technology to facilitate acquisition, evaluation, storage, and portability of histologic information. By its nature, digitization of analog histology data renders it amenable to analysis using deep learning/artificial intelligence (DL/AI) techniques. The application of DL/AI to digital pathology data holds promise, even if the scope of use cases and regulatory framework for deploying such applications in the clinical environment remains in the early stages. Recent studies using whole-slide images and DL/AI to detect histologic abnormalities in general and cancer in particular have shown encouraging results. In this review, we focus on these emerging technologies intended for use in diagnostic hematology and the evaluation of lymphoproliferative diseases. View Full-Text
Keywords: digital pathology; artificial intelligence; leukemia; lymphoma; hematopathology digital pathology; artificial intelligence; leukemia; lymphoma; hematopathology
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MDPI and ACS Style

El Achi, H.; Khoury, J.D. Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology. Cancers 2020, 12, 797. https://doi.org/10.3390/cancers12040797

AMA Style

El Achi H, Khoury JD. Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology. Cancers. 2020; 12(4):797. https://doi.org/10.3390/cancers12040797

Chicago/Turabian Style

El Achi, Hanadi, and Joseph D. Khoury 2020. "Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology" Cancers 12, no. 4: 797. https://doi.org/10.3390/cancers12040797

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