Abstract
.Significance: Colorectal cancer incidence has decreased largely due to detection and removal of polyps. Computer-aided diagnosis development may improve on polyp detection and discrimination.Aim: To advance detection and discrimination using currently available commercial colonoscopy systems, we developed a deep neural network (DNN) separating the color channels from images acquired under narrow-band imaging (NBI) and white-light endoscopy (WLE).Approach: Images of normal colon mucosa and polyps from colonoscopies were studied. Each color image was extracted based on the color channel: red/green/blue. A multilayer DNN was trained using one-channel, two-channel, and full-color images. The trained DNN was then tested for performance in detection of polyps.Results: The DNN performed better using full-colored NBI over WLE images in the detection of polyps. Furthermore, the DNN performed better using the two-channel red + green images when compared to full-color WLE images.Conclusions: The separation of color channels from full-color NBI and WLE images taken from commercially available colonoscopes may improve the ability of the DNN to detect and discriminate polyps. Further studies are needed to better determine the color channels and combination of channels to include and exclude in DNN development for clinical use.
Highlights
Colorectal cancer (CRC) is the second leading cause of cancer and third leading cause of cancer deaths in the US
Computer-aided diagnosis (CAD) and artificial intelligence (AI) have been applied to colonoscopy images and videos with resultant near real-time ability to detect and differentiate types of polyps captured in still images as well as in video.[5,15]
We have built a deep neural network (DNN) and trained it with images taken from commercially available colonoscopies
Summary
Colorectal cancer (CRC) is the second leading cause of cancer and third leading cause of cancer deaths in the US. Over the last five years, there has been a steady decline in the incidence of CRC.[1] Most of this is attributed to ability to prevent CRC through the use of screening colonoscopies. The precursors of CRC, and removing the polyps at the same time, colonoscopy use has been shown to decrease the incidence of CRC by 90%2 and risk of CRCrelated death by 53%.3. Variability in the ability to identify polyps from normal mucosa and to differentiate those polyps as cancerous versus non-cancerous remains challenging.
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