Adenoma Dysplasia Grading of Colorectal Polyps Using Fast Fourier Convolutional ResNet (FFC-ResNet)
Author:
Affiliation:
1. Department of Biomedical Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand
Funder
King Mongkut’s Institute of Technology Ladkrabang (KMITL) Research and Innovation Services
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10049089.pdf?arnumber=10049089
Reference22 articles.
1. Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists
2. Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
3. iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images
4. Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
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