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Digital Image Analysis in Clinical and Experimental Pathology: An Ode to Microscopy

Digital Image Analysis in Clinical and Experimental Pathology: An Ode to Microscopy

Didier Meseure, Kinan Drak Alsibai
Copyright: © 2019 |Pages: 35
ISBN13: 9781522558767|ISBN10: 1522558764|EISBN13: 9781522558774
DOI: 10.4018/978-1-5225-5876-7.ch002
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MLA

Meseure, Didier, and Kinan Drak Alsibai. "Digital Image Analysis in Clinical and Experimental Pathology: An Ode to Microscopy." Medical Image Processing for Improved Clinical Diagnosis, edited by A. Swarnambiga, IGI Global, 2019, pp. 23-57. https://doi.org/10.4018/978-1-5225-5876-7.ch002

APA

Meseure, D. & Alsibai, K. D. (2019). Digital Image Analysis in Clinical and Experimental Pathology: An Ode to Microscopy. In A. Swarnambiga (Ed.), Medical Image Processing for Improved Clinical Diagnosis (pp. 23-57). IGI Global. https://doi.org/10.4018/978-1-5225-5876-7.ch002

Chicago

Meseure, Didier, and Kinan Drak Alsibai. "Digital Image Analysis in Clinical and Experimental Pathology: An Ode to Microscopy." In Medical Image Processing for Improved Clinical Diagnosis, edited by A. Swarnambiga, 23-57. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5876-7.ch002

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Abstract

Conventional pathology using a light microscope is rapidly shifting towards digital integration. Digital imaging plays an increasing role in clinical diagnosis, biomedical research, and continuing medical education. Currently, pathology platforms are composed of clinical and molecular pathologists and engineers with the sole intention of investigating cellular and molecular basis of human health through applied research in disease aetiology, pathogenesis, diagnosis, and treatment. Molecular diagnosis using technical advances and the application of specific biomarkers in clinical practice are the two main pillars of modern personalized medicine especially in oncology. Thus, it has become evident that accredited clinical and molecular pathology laboratories using digital imaging and advanced technologies can make the most of diagnostic and specific biomarker analyses as well as incorporating other key aspects of translational research and data analysis.

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