已撤回：使用改进型递归神经网络对视盘和视杯进行分割
Retracted: Segmentation of Optic Disc and Cup Using Modified Recurrent Neural Network.
作者信息
International BioMed Research
出版信息
Biomed Res Int. 2023 Dec 29;2023:9871834. doi: 10.1155/2023/9871834. eCollection 2023.
Abstract
[This retracts the article DOI: 10.1155/2022/6799184.].
摘要
[本文撤回文章DOI: 10.1155/2022/6799184。]
相似文献
1
Retracted: Segmentation of Optic Disc and Cup Using Modified Recurrent Neural Network.已撤回：使用改进型递归神经网络对视盘和视杯进行分割
Biomed Res Int. 2023 Dec 29;2023:9871834. doi: 10.1155/2023/9871834. eCollection 2023.
2
Segmentation of Optic Disc and Cup Using Modified Recurrent Neural Network.利用改进的递归神经网络进行视盘和杯分割。
Biomed Res Int. 2022 May 2;2022:6799184. doi: 10.1155/2022/6799184. eCollection 2022.
3
[Joint optic disc and cup segmentation based on residual multi-scale fully convolutional neural network].基于残差多尺度全卷积神经网络的视盘和视杯联合分割
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2020 Oct 25;37(5):875-884. doi: 10.7507/1001-5515.201909006.
4
JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.联合 RCNN：一种基于区域的卷积神经网络，用于视盘和杯分割。
IEEE Trans Biomed Eng. 2020 Feb;67(2):335-343. doi: 10.1109/TBME.2019.2913211. Epub 2019 Apr 25.
5
[Optic cup and disc segmentation model based on linear attention and dual attention].基于线性注意力和双重注意力的视杯和视盘分割模型
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Oct 25;40(5):920-927. doi: 10.7507/1001-5515.202208061.
6
Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation.基于形状约束和三重注意力的无监督域自适应联合视盘和杯分割。
Sensors (Basel). 2022 Nov 12;22(22):8748. doi: 10.3390/s22228748.
7
Optic disc and optic cup segmentation based on anatomy guided cascade network.基于解剖结构引导级联网络的视盘和视杯分割。
Comput Methods Programs Biomed. 2020 Dec;197:105717. doi: 10.1016/j.cmpb.2020.105717. Epub 2020 Aug 27.
8
A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.一种用于深度学习的新型自适应三次拟牛顿优化器，在 COVID-19 检测和 COVID-19 肺部感染、肝脏肿瘤以及视盘/杯分割等医学图像分析任务中得到验证。
Med Phys. 2023 Mar;50(3):1528-1538. doi: 10.1002/mp.15969. Epub 2022 Oct 6.
9
Joint optic disc and optic cup segmentation based on boundary prior and adversarial learning.基于边界先验和对抗学习的联合视盘和视杯分割。
Int J Comput Assist Radiol Surg. 2021 Jun;16(6):905-914. doi: 10.1007/s11548-021-02373-6. Epub 2021 May 8.
10
Robust optic disc and cup segmentation with deep learning for glaucoma detection.利用深度学习进行青光眼检测的稳健视盘和杯分割。
Comput Med Imaging Graph. 2019 Jun;74:61-71. doi: 10.1016/j.compmedimag.2019.02.005. Epub 2019 Apr 5.
本文引用的文献
1
Segmentation of Optic Disc and Cup Using Modified Recurrent Neural Network.利用改进的递归神经网络进行视盘和杯分割。
Biomed Res Int. 2022 May 2;2022:6799184. doi: 10.1155/2022/6799184. eCollection 2022.
Zotero 插件