Predicting eye laterality for non-mydriatic fundus images: A comparative study of deep learning and image processing.

Ranipa Keyur; Patel Krunalkumar Ramanbhai

首页> 外文期刊>Investigative ophthalmology & visual science >Predicting eye laterality for non-mydriatic fundus images: A comparative study of deep learning and image processing.

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Predicting eye laterality for non-mydriatic fundus images: A comparative study of deep learning and image processing.

机译：预测非米子眼底的眼光性：深度学习和图像处理的比较研究。

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来源
《Investigative ophthalmology & visual science》 |2018年第9期|共6页
作者
Ranipa Keyur; Patel Krunalkumar Ramanbhai;
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作者单位

Carl Zeiss India CARIn Bengaluru Karnataka India;

Carl Zeiss India CARIn Bengaluru Karnataka India;

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原文格式 PDF
正文语种 eng
中图分类眼科学;
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1. Predicting eye laterality for non-mydriatic fundus images: A comparative study of deep learning and image processing. [J] . Ranipa Keyur, Patel Krunalkumar Ramanbhai Investigative ophthalmology & visual science . 2018,第9期

机译：预测非米子眼底的眼光性：深度学习和图像处理的比较研究。
2. Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning [J] . Qureshi Imran, Ma Jun, Abbas Qaisar Multimedia Tools and Applications . 2021,第8期

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4. Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation [C] . Sarni Suhaila Rahim, Vasile Palade, Ibrahim Almakky, Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction . 2019

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6. Autofluorescence Images with Carl Zeiss versus Topcon Eye Fundus Camera: A Comparative Study [O] . Juan M. Muñoz, Rosa M. Coco, M. Rosa Sanabria, 2013

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7. Identifying the genetic and non-genetic factors associated with accelerated eye aging by using deep learning to predict age from fundus and optical coherence tomography images [O] . Alan Le Goallec, Samuel Diai, Sasha Collin, 2021

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Predicting eye laterality for non-mydriatic fundus images: A comparative study of deep learning and image processing.

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