Cross-level Feature Aggregation Network for Polyp Segmentation-Reference-Cited by-同舟云学术

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Cross-level Feature Aggregation Network for Polyp Segmentation

Published:2023-08 Issue: Volume:140 Page:109555
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhou Tao,Zhou Yi,He Kelei,Gong Chen,Yang Jian,Fu Huazhu,Shen Dinggang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference61 articles.

1. Towards automatic polyp detection with a polyp appearance model;Bernal;Pattern Recognition,2012

2. Colorectal cancer population screening programs worldwide in 2016: An update;Navarro;World journal of gastroenterology,2017

3. Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker;Zhang;Pattern Recognition,2018

4. Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation;Guo;IEEE Transactions on Medical Imaging,2020

5. Pranet: Parallel reverse attention network for polyp segmentation;Fan,2020

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3. FAFS-UNet: Redesigning skip connections in UNet with feature aggregation and feature selection;Computers in Biology and Medicine;2024-03

4. Polyp Segmentation Using a Hybrid Vision Transformer and a Hybrid Loss Function;Journal of Imaging Informatics in Medicine;2024-01-12

5. CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract;Biomedical Physics & Engineering Express;2023-12-27

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