Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography.

ABSTRACT: Optical coherence tomography (OCT) has shown potential in differentiating normal colonic mucosa from neoplasia. In this study of 33 fresh human colon specimens, we report the first use of texture features and computer vision-based imaging features acquired from en face scattering coefficient maps to characterize colorectal tissue. En face scattering coefficient maps were generated automatically using a new fast integral imaging algorithm. From these maps, a gray-level cooccurrence matrix algorithm was used to extract texture features, and a scale-invariant feature transform algorithm was used to derive novel computer vision-based features. In total, 25 features were obtained, and the importance of each feature in diagnosis was evaluated using a random forest model. Two classifiers were ass

SUBMITTER: Zeng Y 

PROVIDER: S-EPMC8196414 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature