International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 3
May-June 2026

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Medical Image Segmentation Using Machine Learning

Author(s) Lakshmi Inturi, Nageswara Rao Kapu
Country India
Abstract Accurate medical image segmentation is critical for diagnosis and treatment planning, yet manual delineation is time consuming and prone to error. Automatic methods like thresholding and edge detection often fail in the presence of noise, artifacts, and complex textures. This study addresses the need for robust segmentation of CT scans and wound images by combining traditional machine learning with lightweight deep learning, enabling precise region-of-interest extraction for clinical analysis.
Keywords Medical image segmentation, CT scan, Wound segmentation, Random Forest, Deep learning, Feature extraction, Near-infrared imaging, F1-Score
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-01
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.79909
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E-ISSN 2582-2160
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