Feature Extraction Techniques in Medical Imaging: A Systematic Review

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Published: May 17, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i5.6521
Keywords:
Medical Imaging, Feature Extraction, Imaging Modalities

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R. Josphineleela
Professor, Computer Science & Engg, Panimalar engineering college
S. Preethi
Assistant Professor, Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Coimbatore – 48
Ashwin. M
Associate Professor, Department of Artificial Intelligence and Data Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
Meda Srikanth
Associate professor, Computer Science & Engg, R V R & J C college of Engg, India
Eluri Ramesh
Venkata Anusha Kolluru
Assistant professor, Computer Science & Engg, R V R & J C college of Engg, India

Abstract

With the surge in the development of various applications in the field of Computer Vision and Digital Image Processing, a significant amount of medical pictures are being produced. Thus, the patient-specific scan pictures represent the boundless volume of data that requires careful organization and supervision to assist clinical decision support systems. Now that retrieval, classification, segmentation, and other procedures have been completed, these devices assist doctors to uncover serious illnesses including skin conditions, tumors, and cancer. This imaging largely depends on characteristics to detect the afflicted region and perform the diagnosis visually. The authors of this paper present an overview of numerous feature extraction approaches used to extract features from medical images obtained via different modalities, but only used a handful of these techniques for this job and provided the findings.

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How to Cite
Josphineleela, R. ., Preethi, S. ., M, A. ., Srikanth, M. ., Ramesh, E. ., & Kolluru, V. A. . (2023). Feature Extraction Techniques in Medical Imaging: A Systematic Review. International Journal on Recent and Innovation Trends in Computing and Communication, 11(5), 23–29. https://doi.org/10.17762/ijritcc.v11i5.6521
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Vol. 11 No. 5 (2023): May (2023) Issue
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Articles

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