PNN-based classification of retinal diseases using fundus images

Sensors for Health Monitoring ◽

10.1016/b978-0-12-819361-7.00011-7 ◽

2019 ◽

pp. 215-242 ◽

Author(s):

Jitendra Virmani ◽

Gajendra Pratap Singh ◽

Yashmeet Singh ◽

Kriti

Keyword(s):

Retinal Diseases ◽

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Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure

Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019 ◽

10.1145/3364836.3364843 ◽

2019 ◽

Author(s):

Lei Wang ◽

Ying Huang ◽

Bing Lin ◽

Wencan Wu ◽

Hao Chen ◽

...

Keyword(s):

Deep Learning ◽

Automatic Classification ◽

Fundus Images ◽

Learning Procedure ◽

Color Fundus Images

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Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images

Artificial Intelligence in Medicine ◽

10.1016/j.artmed.2021.102116 ◽

2021 ◽

pp. 102116

Author(s):

José Morano ◽

Álvaro S. Hervella ◽

Jorge Novo ◽

José Rouco

Keyword(s):

Fundus Images ◽

Color Fundus Images ◽

Arteries And Veins

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Two-Dimensional Compact Variational Mode Decomposition-Based Automatic Classification of Glaucoma Stages From Fundus Images

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3071223 ◽

2021 ◽

pp. 1-1

Author(s):

Deepak Parashar ◽

Dheeraj Agrawal

Keyword(s):

Automatic Classification ◽

Fundus Images ◽

Two Dimensional ◽

Variational Mode Decomposition ◽

Mode Decomposition

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Automated Classification of Glaucoma Using Retinal Fundus Images

2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA) ◽

10.1109/icmica48462.2020.9242702 ◽

2020 ◽

Author(s):

Deepak Parashar ◽

Dheeraj Agrawal

Keyword(s):

Fundus Images ◽

Automated Classification ◽

Retinal Fundus Images ◽

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Multi-label Classification of Fundus Images with Graph Convolutional Network and Self-supervised Learning

IEEE Signal Processing Letters ◽

10.1109/lsp.2021.3057548 ◽

2021 ◽

pp. 1-1

Author(s):

Jinke Lin ◽

Qingling Cai ◽

Manying Lin

Keyword(s):

Supervised Learning ◽

Fundus Images ◽

Convolutional Network

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RRI-Net: Classification of Multi-class Retinal Diseases with Deep Recurrent Residual Inception Network using OCT Scans

2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) ◽

10.1109/isspit51521.2020.9408820 ◽

2020 ◽

Author(s):

Bilal Hassan ◽

Shiyin Qin ◽

Ramsha Ahmed

Keyword(s):

Retinal Diseases

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Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform From Retinal Fundus Images

IEEE Sensors Journal ◽

10.1109/jsen.2020.3001972 ◽

2020 ◽

Vol 20 (21) ◽

pp. 12885-12894 ◽

Author(s):

Deepak Parashar ◽

Dheeraj Kumar Agrawal

Keyword(s):

Wavelet Transform ◽

Fundus Images ◽

Automated Classification ◽

Analytic Wavelet ◽

Retinal Fundus Images ◽

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Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network

Multiscale Multimodal Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37969-8_8 ◽

2019 ◽

pp. 59-67

Author(s):

Meng Li ◽

Jie Zhao ◽

Yan Zhang ◽

Danmei He ◽

Jinqiong Zhou ◽

...

Keyword(s):

Fundus Images ◽

Automated Classification

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Classification of Fundus Images Based on Deep Learning for Detecting Eye Diseases

Computers Materials & Continua ◽

10.32604/cmc.2021.013390 ◽

2021 ◽

Vol 67 (1) ◽

pp. 411-426

Author(s):

Nakhim Chea ◽

Yunyoung Nam

Keyword(s):

Deep Learning ◽

Eye Diseases ◽

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Automatic Screening and Classification of Diabetic Retinopathy Fundus Images

Engineering Applications of Neural Networks - Communications in Computer and Information Science ◽

10.1007/978-3-319-11071-4_11 ◽

2014 ◽

pp. 113-122 ◽

Author(s):

Sarni Suhaila Rahim ◽

Vasile Palade ◽

James Shuttleworth ◽

Chrisina Jayne

Keyword(s):

Diabetic Retinopathy ◽

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