FTMF-Net: A Fourier Transform-Multiscale Feature Fusion Network for Segmentation of Small Polyp Objects
Author:
Affiliation:
1. College of Computer and Information Engineering, Henan Normal University, Xinxiang, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10177799.pdf?arnumber=10177799
Reference88 articles.
1. Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction
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3. Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
4. Enhancing Tiny Tissues Segmentation via Self-Distillation
5. Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)
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