A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities

Research article (Computers in Biology and Medicine, 2025) · cited 22× · AI/ML
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A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities

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A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-statistical-radiomics-and-deep-learning-feature-extraction-techniques-for-medical-image-classific
MLA “A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-statistical-radiomics-and-deep-learning-feature-extraction-techniques-for-medical-image-classific.
BibTeX @misc{4ortxyz_a-comparative-study-of-statistical-radiomics-and-deep-learning-feature-extraction-techniques-for-medical-image-classific_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-statistical-radiomics-and-deep-learning-feature-extraction-techniques-for-medical-image-classific}, note = {Accessed: 2026-05-24}}
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