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Utilizing spatial and spectral features of photoacoustic imaging for ovarian cancer detection and diagnosis
A composite set of ovarian tissue features extracted from photoacoustic spectral data, beam envelope, and co-registered ultrasound and photoacoustic images are used to characterize malignant and normal ovaries using logistic and support vector machine (SVM) classifiers. Normalized power spectra were...
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| Published in: | J Biomed Opt |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Society of Photo-Optical Instrumentation Engineers
2015
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4282284/ https://ncbi.nlm.nih.gov/pubmed/25554971 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.20.1.016002 |
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