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Principle component analysis and linear discriminant analysis of multi-spectral autofluorescence imaging data for differentiating basal cell carcinoma and healthy skin
Research article (Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 2016) · cited 10× · AI/ML
Principle component analysis and linear discriminant analysis of multi-spectral autofluorescence imaging data for differentiating basal cell carcinoma and healthy skin
Summary
Principle component analysis and linear discriminant analysis of multi-spectral autofluorescence imaging data for differentiating basal cell carcinoma and healthy skin is a scholarly article[1].
Key Facts
Principle component analysis and linear discriminant analysis of multi-spectral autofluorescence imaging data for differentiating basal cell carcinoma and healthy skin's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Principle component analysis and linear discriminant analysis of multi-spectral autofluorescence imaging data for differentiating basal cell carcinoma and healthy skin. Retrieved May 24, 2026, from https://4ort.xyz/entity/principle-component-analysis-and-linear-discriminant-analysis-of-multi-spectral-autofluorescence-imaging-data-for-differ
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BibTeX@misc{4ortxyz_principle-component-analysis-and-linear-discriminant-analysis-of-multi-spectral-autofluorescence-imaging-data-for-differ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Principle component analysis and linear discriminant analysis of multi-spectral autofluorescence imaging data for differentiating basal cell carcinoma and healthy skin}}, year = {2026}, url = {https://4ort.xyz/entity/principle-component-analysis-and-linear-discriminant-analysis-of-multi-spectral-autofluorescence-imaging-data-for-differ}, note = {Accessed: 2026-05-24}}
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