A recurrent skip deep learning network for accurate image segmentation-Reference-Cited by-同舟云学术

A recurrent skip deep learning network for accurate image segmentation

Published:2022-04 Issue: Volume:74 Page:103533
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Shi Ce,Zhang Juan,Zhang Xin,Shen Meixiao,Chen Hao,Wang Lei

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference40 articles.

1. A survey on deep learning in medical image analysis;Litjens;Med. Image Analysis,2017

2. CA-Net: comprehensive attention convolutional neural networks for explainable medical image segmentation;Gu;IEEE Trans. Med. Imaging,2021

3. BG-CNN: a boundary guided convolutional neural network for corneal layer segmentation from optical coherence tomography;Wang;Conf. Biomed. Signal Image Process.,2020

4. Joint optic disc and cup segmentation based on multi-label deep network and polar transformation;Fu;IEEE Trans. Med. Imaging,2018

5. A coarse-to-fine deep learning framework for optic disc segmentation in fundus images;Wang;Biomed. Signal Process. Control,2019

Cited by 6 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. ScLNet: A cornea with scleral lens OCT layers segmentation dataset and new multi-task model;Heliyon;2024-07

2. UGLS: an uncertainty guided deep learning strategy for accurate image segmentation;Frontiers in Physiology;2024-04-08

3. Research on a novel photovoltaic power forecasting model based on parallel long and short-term time series network;Energy;2024-04

4. Semi-supervised image segmentation using a residual-driven mean teacher and an exponential Dice loss;Artificial Intelligence in Medicine;2024-02

5. Automated segmentation of optic disc and cup depicted on color fundus images using a distance-guided deep learning strategy;Biomedical Signal Processing and Control;2023-09