Fully Convolutional Neural Networks for Automatic Extraction of Diabetic Retinopathy Features in Retinal Fundus Images

Andersen Jakob; Juel William Kristian; Grauslund Jakob; Savarimuthu Thiusius Rajeeth

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Fully Convolutional Neural Networks for Automatic Extraction of Diabetic Retinopathy Features in Retinal Fundus Images

机译：完全卷积神经网络，用于自动提取视网膜眼底图像中的糖尿病视网膜病特征

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来源
《Investigative ophthalmology & visual science》 |2018年第9期|共2页
作者
Andersen Jakob; Juel William Kristian; Grauslund Jakob; Savarimuthu Thiusius Rajeeth;
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作者单位

Univ Southern Denmark Maersk Mc Kinney Moller Inst Odense M Fyn Denmark;

Univ Southern Denmark Maersk Mc Kinney Moller Inst Odense M Fyn Denmark;

Odense Univ Hosp Dept Opthamol Odense M Fyn Denmark;

Univ Southern Denmark Maersk Mc Kinney Moller Inst Odense M Fyn Denmark;

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正文语种 eng
中图分类眼科学;
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1. Fully Convolutional Neural Networks for Automatic Extraction of Diabetic Retinopathy Features in Retinal Fundus Images [J] . Andersen Jakob, Juel William Kristian, Grauslund Jakob, Investigative ophthalmology & visual science . 2018,第9期

机译：完全卷积神经网络，用于自动提取视网膜眼底图像中的糖尿病视网膜病特征
2. Classification of eye-fundus images with diabetic retinopathy using shape based features integrated into a convolutional neural network [J] . Srivastava Varun, Purwar Ravindra Kumar Journal of information and optimization sciences . 2020,第1期

机译：使用基于形状的特征集成到卷积神经网络中的糖尿病视网膜病变的眼底图像分类
3. An Automatic Detection of Blood Vessel in Retinal Images Using Convolution Neural Network for Diabetic Retinopathy Detection [J] . C. Raja, L. Balaji Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2019,第3期

机译：用卷积神经网络自动检测糖尿病性视网膜病变检测的视网膜图像血管
4. Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks [C] . Jordina TORRENTS-BARRENA, Jaime MELENDEZ, Aida VALLS, International Conference of the Catalan Association for Artificial Intelligence . 2015

机译：通过卷积神经网络通过视网膜彩色眼底图像筛选糖尿病视网膜病变
5. Feature extraction from the image of straight-edge objects and dynamic image/feature classification using non-iterative neural networks. [D] . Chanekasit, Sirikanlaya. 2004

机译：使用非迭代神经网络从直边物体的图像中提取特征并进行动态图像/特征分类。
6. Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks [O] . Adrian Galdran, Jihed Chelbi, Riadh Kobi, -1

机译：具有深神经网络的视网膜眼底图像的糖尿病视网膜病评级的非均匀标记平滑
7. Segmentation of Diabetic Retinopathy Lesions in Retinal Fundus Images Using Multi-View Convolutional Neural Networks [O] . Hassan Khastavaneh, Hossein Ebrahimpour-Komleh 2019

机译：多视网膜卷积神经网络视网膜眼底图像中糖尿病视网膜病变的分割

Fully Convolutional Neural Networks for Automatic Extraction of Diabetic Retinopathy Features in Retinal Fundus Images

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