Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Polyp Segmentation in Colonoscopy Images Using...
Conference

Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network

Abstract

Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer, and early diagnosis of polyps by colonoscopy could result in successful treatment. Diagnosis of polyps in colonoscopy videos is a challenging task due to variations in the size and shape of polyps. In this paper, we proposed a polyp segmentation method based on the convolutional neural network. Two …

Authors

Akbari M; Mohrekesh M; Nasr-Esfahani E; Soroushmehr SMR; Karimi N; Samavi S; Najarian K

Volume

00

Pagination

pp. 69-72

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

July 2018

DOI

10.1109/embc.2018.8512197

Name of conference

2018 40th 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