CNN-ELM-BASED DEEP LEARNING FRAMEWORK FOR KNEE OSTEOARTHRITIS CLASSIFICATION FROM RADIOGRAPHIC IMAGES

CNN-ELM-BASED DEEP LEARNING FRAMEWORK FOR KNEE OSTEOARTHRITIS CLASSIFICATION FROM RADIOGRAPHIC IMAGES

This paper proposes a deep learning framework for automated Knee OsteoArthritis (KOA) severity classification from radiographic images, using a hybrid custom Convolutional Neural Network and Extreme Learning Machine (CNN-ELM) architecture. The CNN-ELM model system integrates Contrast Limited Adaptiv...

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Bibliographic Details
Main Authors: V Srividhya, P Jega Juliet, N Neelima, Senthil Kumar Seeni
Format: Article
Language:English
Published: XLESCIENCE 2025-06-01
Series:International Journal of Advances in Signal and Image Sciences
Subjects:
knee osteoarthritis, deep learning, convolutional neural network, extreme learning machine, medical image processing, radiograph analysis.
Online Access:https://xlescience.org/index.php/IJASIS/article/view/273
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https://xlescience.org/index.php/IJASIS/article/view/273

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