Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames
Author:
Affiliation:
1. University of Moulay Ismail,Informatics and Applications Laboratory, Faculty of Sciences,Computer Science Department,Meknès,Morocco
2. University of Ibn Zohr,LabSIV, Faculty of Sciences,Computer Science Department,Agadir,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9966415/9966416/09966447.pdf?arnumber=9966447
Reference24 articles.
1. A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation
2. Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction
3. Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps
4. Unravelling the effect of data augmentation transformations in polyp segmentation
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