Medical Image Analysis With Intelligent Techniques

Medical Image Analysis With Intelligent Techniques

Jayanthi Ganapathy, Purushothaman R., Sathishkumar M., Vishal L.
ISBN13: 9781668446713|ISBN10: 1668446715|ISBN13 Softcover: 9781668446720|EISBN13: 9781668446737
DOI: 10.4018/978-1-6684-4671-3.ch003
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MLA

Ganapathy, Jayanthi, et al. "Medical Image Analysis With Intelligent Techniques." Machine Learning and AI Techniques in Interactive Medical Image Analysis, edited by Lipismita Panigrahi, et al., IGI Global, 2023, pp. 51-69. https://doi.org/10.4018/978-1-6684-4671-3.ch003

APA

Ganapathy, J., R., P., M., S., & L., V. (2023). Medical Image Analysis With Intelligent Techniques. In L. Panigrahi, S. Biswal, A. Bhoi, A. Kalam, & P. Barsocchi (Eds.), Machine Learning and AI Techniques in Interactive Medical Image Analysis (pp. 51-69). IGI Global. https://doi.org/10.4018/978-1-6684-4671-3.ch003

Chicago

Ganapathy, Jayanthi, et al. "Medical Image Analysis With Intelligent Techniques." In Machine Learning and AI Techniques in Interactive Medical Image Analysis, edited by Lipismita Panigrahi, et al., 51-69. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-4671-3.ch003

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Abstract

Medical imaging is an integral part of radiology. This technology has its significance in assisting physicians in clinical procedures. Artificial intelligence and machine learning was recently established in diagnosis of lesions using medical imaging modalities in radiology for various medical diagnoses such as tumor in oral cavities, lungs, using histopathology images. The objective of this chapter is to present the workflow of computer-aided medical diagnosis involved in various imaging modalities with case study on ophthalmology and oral cancer. Towards the end, the machine learning workflow is summarized with directions for future research. Towards the end, summary on research challenges in digital pathology is presented. Finally, the chapter concludes with future research directions.

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