Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips

Research article (Tissue and Cell, 2019) · cited 88× · AI/ML
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Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips

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Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-oral-squamous-cell-carcinoma-identification-using-shape-texture-and-color-features-of-whole-image-strips
MLA “Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-oral-squamous-cell-carcinoma-identification-using-shape-texture-and-color-features-of-whole-image-strips.
BibTeX @misc{4ortxyz_automated-oral-squamous-cell-carcinoma-identification-using-shape-texture-and-color-features-of-whole-image-strips_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips}}, year = {2026}, url = {https://4ort.xyz/entity/automated-oral-squamous-cell-carcinoma-identification-using-shape-texture-and-color-features-of-whole-image-strips}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips — https://4ort.xyz/entity/automated-oral-squamous-cell-carcinoma-identification-using-shape-texture-and-color-features-of-whole-image-strips (retrieved 2026-05-24)

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