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Medical Image Analysis With Intelligent Techniques
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Author(s): Jayanthi Ganapathy (Sri Ramachandra Institute of Higher Education and Research, India), Purushothaman R. (Siddartha Institute of Science and Technology, India), Sathishkumar M. (Sri Ramachandra Institute of Higher Education and Research, India)and Vishal L. (Sri Ramachandra Institute of Higher Education and Research, India)
Copyright: 2023
Pages: 19
Source title:
Machine Learning and AI Techniques in Interactive Medical Image Analysis
Source Author(s)/Editor(s): Lipismita Panigrahi (GITAM University (Deemed), India), Sandeep Biswal (O.P. Jindal University, India), Akash Kumar Bhoi (KIET Group of Institutions, India & Sikkim Manipal University, India), Akhtar Kalam (Victoria University, Australia)and Paolo Barsocchi (Institute of Information Science and Technologies, Italy)
DOI: 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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