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Publication: IIP Proceedings Year: 2022, Month: November Page No: 248-254, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl202348A073F02AD7EAB.pdf
A SURVEY ON ARTIFICIAL INTELLIGENCE IN PATHOLOGY
Area/Stream: Artificial Intelligence, Authors: Sanjay J, Vishal B S, Dr. Jyothi A P Keywords: Pathology, artificial intelligence, telepathology, deep learning, natural language processing, image processing Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 26Publication: IIP Proceedings Year: 2022, Month: November Page No: 248-254, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl202348A073F02AD7EAB.pdf
Abstract:
Pathology procedures include necroscopy, radiography, urinalysis, microscopic study of tissues, hematological assays, and anatomical pathology. Artificial intelligence is making an impact in the field of pathology; the developed approaches allow the computer to perform previously performed by humans. In this section, we offer a basic and implemented guidance for artificial intelligence approaches used in pathology, such as deep learning, NLP, digital image analysis, and next generation sequencing. Some of the major works include pathological voice classification using deep learning, the process of remote diagnosis using tele pathology to improve cancer pathology expertization, electronic medical records were used for storing patients pathology information as this process was lengthy and took time to access or retrieve information, and in-house development frameworks were developed to extract pathology data points. To eliminate scanner, focus inaccuracy, a no reference focus quality evaluation measure for digital pathology is being developed, as is a telepathology system incorporating an effective algorithm to show realistically. In contrast to traditional approaches in which pathologists had to manually evaluate photos for disease detection, AI has benefited in automating these activities. In this work, we explored several proposed ai strategies that are accessible and applied in the pathology department for improved, advanced, and accurate findings.
Cite this: Sanjay J, Vishal B S, Dr. Jyothi A P,"A SURVEY ON ARTIFICIAL INTELLIGENCE IN PATHOLOGY", Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 26, November, 2022, 248-254, 978-93-95632-70-6, https://www.rsquarel.org/assets/docupload/rsl202348A073F02AD7EAB.pdf
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