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Scattering coefficient maps acquired from optical coherence tomography aid in diagnosis of colorectal abnormalities
- Source :
- Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV.
- Publication Year :
- 2021
- Publisher :
- SPIE, 2021.
-
Abstract
- In this ex vivo study, we report the first use of texture features and computer vision-based image features acquired from en face scattering coefficient maps to diagnose colorectal diseases. From these maps, texture features were extracted from a gray-level co-occurrence matrix algorithm, and computer vision-based image features were derived using a scale-invariant feature transform algorithm. Twenty-five features were obtained and thirty-three patients were recruited. Machine learning models were trained using an optimal feature set. The trained models achieved 94.7% sensitivity and 94.0% specificity for differentiating abnormal from normal, and 86.9% sensitivity and 85.0% specificity when distinguishing adenomatous polyp from cancer.
Details
- Database :
- OpenAIRE
- Journal :
- Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV
- Accession number :
- edsair.doi...........d6e6789d6ff06629da905777ea23fa84