Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Combining convolutional neural networks and self-attention for fundus diseases identification
K Wang, C Xu, G Li, Y Zhang, Y Zheng, C Sun - Scientific Reports, 2023 - nature.com
Early detection of lesions is of great significance for treating fundus diseases. Fundus
photography is an effective and convenient screening technique by which common fundus …
photography is an effective and convenient screening technique by which common fundus …
Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography
B Li, H Chen, B Zhang, M Yuan, X Jin, B Lei… - British Journal of …, 2022 - bjo.bmj.com
Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of
12 major fundus diseases using colour fundus photography. Methods Diagnostic …
12 major fundus diseases using colour fundus photography. Methods Diagnostic …
Fundus image classification using Inception V3 and ResNet-50 for the early diagnostics of fundus diseases
Y Pan, J Liu, Y Cai, X Yang, Z Zhang, H Long… - Frontiers in …, 2023 - frontiersin.org
Purpose: We aim to present effective and computer aided diagnostics in the field of
ophthalmology and improve eye health. This study aims to create an automated deep …
ophthalmology and improve eye health. This study aims to create an automated deep …
Multi-task deep learning for glaucoma detection from color fundus images
Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in
time. Diagnosis requires human experts to estimate in a limited time subtle changes in the …
time. Diagnosis requires human experts to estimate in a limited time subtle changes in the …
Cross-attention multi-branch network for fundus diseases classification using SLO images
Fundus diseases classification is vital for the health of human beings. However, most of
existing methods detect diseases by means of single angle fundus images, which lead to the …
existing methods detect diseases by means of single angle fundus images, which lead to the …
Artificial intelligence to identify retinal fundus images, quality validation, laterality evaluation, macular degeneration, and suspected glaucoma
MA Zapata, D Royo-Fibla, O Font, JI Vela… - Clinical …, 2020 - Taylor & Francis
Purpose To assess the performance of deep learning algorithms for different tasks in retinal
fundus images:(1) detection of retinal fundus images versus optical coherence tomography …
fundus images:(1) detection of retinal fundus images versus optical coherence tomography …
[HTML][HTML] Current status and future trends of clinical diagnoses via image-based deep learning
With the recent developments in deep learning technologies, artificial intelligence (AI) has
gradually been transformed from cutting-edge technology into practical applications. AI …
gradually been transformed from cutting-edge technology into practical applications. AI …
Ophthalmic diagnosis using deep learning with fundus images–A critical review
An overview of the applications of deep learning for ophthalmic diagnosis using retinal
fundus images is presented. We describe various retinal image datasets that can be used for …
fundus images is presented. We describe various retinal image datasets that can be used for …
Deep learning applications in ophthalmology
E Rahimy - Current opinion in ophthalmology, 2018 - journals.lww.com
Deep learning applications in ophthalmology : Current Opinion in Ophthalmology Deep learning
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