Conference
Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer death. Colorectal polyps cause most colorectal cancer cases. Colonoscopy is considered as the most common method for diagnosis of colorectal polyps, and early detection and segmentation of them can prevent colorectal cancer. On the other hand, today advances in computer systems persuade researchers all around the world to use computer-aided systems to help physicians in their …
Authors
Bagheri M; Mohrekesh M; Tehrani M; Najarian K; Karimi N; Samavi S; Soroushmehr SMR
Volume
00
Pagination
pp. 6742-6745
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
7 2019
DOI
10.1109/embc.2019.8856793
Name of conference
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Conference proceedings
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ISSN
1557-170X