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Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques
Research article (Cancer Reports, 2020) · cited 52× · AI/ML
Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques
Summary
Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques is a scholarly article[1].
Key Facts
Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/study-of-morphological-and-textural-features-for-classification-of-oral-squamous-cell-carcinoma-by-traditional-machine-l
MLA“Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/study-of-morphological-and-textural-features-for-classification-of-oral-squamous-cell-carcinoma-by-traditional-machine-l.
BibTeX@misc{4ortxyz_study-of-morphological-and-textural-features-for-classification-of-oral-squamous-cell-carcinoma-by-traditional-machine-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques}}, year = {2026}, url = {https://4ort.xyz/entity/study-of-morphological-and-textural-features-for-classification-of-oral-squamous-cell-carcinoma-by-traditional-machine-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques — https://4ort.xyz/entity/study-of-morphological-and-textural-features-for-classification-of-oral-squamous-cell-carcinoma-by-traditional-machine-l (retrieved 2026-05-24)
