2022 4th International Conference on Circuits, Control, Communication and Computing (I4C) 2022
DOI: 10.1109/i4c57141.2022.10057855
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Kidney Abnormalities Detection and Classification Using CNN-based Feature Extraction

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Cited by 2 publications
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“…This is done by identifying regions of similar color, texture, or other features. Feature extraction involves the technique of detecting and extracting the most critical and relevant characteristics from segmented regions [28], [29], [30]. Feature selection involves the process of selecting the most relevant and informative characteristics from a vast set of features derived from medical images [31], [32], [33].…”
Section: A Cadx Systemsmentioning
confidence: 99%
“…This is done by identifying regions of similar color, texture, or other features. Feature extraction involves the technique of detecting and extracting the most critical and relevant characteristics from segmented regions [28], [29], [30]. Feature selection involves the process of selecting the most relevant and informative characteristics from a vast set of features derived from medical images [31], [32], [33].…”
Section: A Cadx Systemsmentioning
confidence: 99%