Article

Enhanced VGG16 Model for Kidney Tumor Classification

2025-07-25

Abstract excerpt

<h4>Background: </h4> /Objectives: The timely identification of renal malignancies, particularly the accurate categorization of neoplastic subtypes, poses significant diagnostic challenges. Traditional techniques such as manual diagnosis and histopathological analysis are re-source-intensive, prone to inter-observer variability, and often lack scalability. Although recent deep learning (DL) approaches have demonst...

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Literature Corpus work: bc1f11d3-2111-57b9-88cd-50628e3cf005
DOI: 10.20944/preprints202507.2162.v1

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