MMFIL-Net: Multi-level and multi-source feature interactive lightweight network for polyp segmentation-Reference-Cited by-同舟云学术

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MMFIL-Net: Multi-level and multi-source feature interactive lightweight network for polyp segmentation

Published:2024-01 Issue: Volume:81 Page:102600
ISSN:0141-9382
Container-title:Displays
language:en
Short-container-title:Displays

Author:

Muhammad Zaka-Ud-Din^ORCID,Muhammad Usman,Huang Zhangjin^ORCID,Gu Naijie

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Human-Computer Interaction

Reference72 articles.

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2. The miss rate for colorectal adenoma determined by quality-adjusted, back-to-back colonoscopies;Ahn;Gut Liver,2012

3. COVID-19 CT image recognition algorithm based on transformer and CNN;Fan;Displays,2022

4. SELDNet: Sequenced encoder and lightweight decoder network for COVID-19 infection region segmentation;Fan;Displays,2023

5. Computer-aided tumor detection in endoscopic video using color wavelet features;Karkanis;IEEE Trans. Inf. Technol. Biomed.,2003

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lightweight boundary-assisted network for freespace segmentation in unstructured road scenes;Displays;2024-07

2. Colon Polyp Segmentation Model Based on Frequency Feature Enhancement;Modeling and Simulation;2024

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