Medical Image Analysis for Brain and Kidney Tumor Detection Using Convolutional Neural Networks

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ID: 312624
2025
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Ranked #130 of 705 articles by views in Journal of Computing & Biomedical Informatics

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Abstract
Rapid and unchecked cell proliferation is the cause of brain tumors. It can be fatal if left untreated in the early stages. A crucial area of study and clinical application is the issue of tumor detection and segmentation in medical imaging. Accurate and effective procedures are required for the detection and delineation of brain tumors and kidney tumors due to their complexity and indecision. The problem's essential features and complexities are further examined in the problem elaboration. The Significance of Correct Tumor Identification for efficient treatment planning and patient management, brain tumor, and kidney tumor detection must occur as soon as possible. Healthcare providers can confidently decide on treatments such as radiation therapy, surgery, and other treatment methods when they can accurately identify the tumor regions in medical pictures. Convolutional neural network shows better outcomes with 96% accuracy.
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imported_1777055408_69ebb6b05f6e8 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhamamd Yousif
Journal Journal of Computing & Biomedical Informatics
Year 2025
DOI
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URL
https://jcbi.org/index.php/Main/article/view/1018
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