Back to Search
Start Over
Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps
- Source :
- Journal of Biomedical Optics
- Publication Year :
- 2018
- Publisher :
- Society of Photo-Optical Instrumentation Engineers, 2018.
-
Abstract
- Colonoscopy is routinely performed for colorectal cancer screening but lacks the capability to accurately characterize precursor lesions and early cancers. High-resolution microendoscopy (HRME) is a low-cost imaging tool to visualize colorectal polyps with subcellular resolution. We present a computer-aided algorithm to evaluate HRME images of colorectal polyps and classify neoplastic from benign lesions. Using histopathology as the gold standard, clinically relevant features based on luminal morphology and texture are quantified to build the classification algorithm. We demonstrate that adenomatous polyps can be identified with a sensitivity and specificity of 100% and 80% using a two-feature linear discriminant model in a pilot test set. The classification algorithm presented here offers an objective framework to detect adenomatous lesions in the colon with high accuracy and can potentially improve real-time assessment of colorectal polyps.
- Subjects :
- Paper
Adenomatous polyps
medicine.medical_specialty
Colorectal cancer
Colon
Biomedical Engineering
Colonoscopy
Colonic Polyps
colorectal cancer
01 natural sciences
Imaging
010309 optics
Biomaterials
03 medical and health sciences
0302 clinical medicine
In vivo
0103 physical sciences
Image Interpretation, Computer-Assisted
medicine
Humans
microendoscope
medicine.diagnostic_test
quantitative analysis
business.industry
Cancer
Gold standard (test)
medicine.disease
Atomic and Molecular Physics, and Optics
3. Good health
Electronic, Optical and Magnetic Materials
Computer-aided diagnosis
adenomatous polyps
030211 gastroenterology & hepatology
computer-aided diagnosis
Radiology
business
Colorectal Neoplasms
Preclinical imaging
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 15602281 and 10833668
- Volume :
- 23
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Journal of Biomedical Optics
- Accession number :
- edsair.doi.dedup.....d6aafb341776156dd21cbd0dff55e7cd