Multi-label classification of fundus images with efficientnet
J Wang, L Yang, Z Huo, W He, J Luo - IEEE access, 2020 - ieeexplore.ieee.org
Convolutional neural network (CNN) has achieved remarkable success in the field of fundus
images due to its powerful feature learning ability. Computer-aided diagnosis can obtain …
images due to its powerful feature learning ability. Computer-aided diagnosis can obtain …
Automated retinal image analysis for diabetic retinopathy in telemedicine
There will be an estimated 552 million persons with diabetes globally by the year 2030. Over
half of these individuals will develop diabetic retinopathy, representing a nearly …
half of these individuals will develop diabetic retinopathy, representing a nearly …
Fundus image quality assessment: survey, challenges, and future scope
Various ocular diseases, such as cataract, diabetic retinopathy, and glaucoma have affected
a large proportion of the population worldwide. In ophthalmology, fundus photography is …
a large proportion of the population worldwide. In ophthalmology, fundus photography is …
Evaluation of retinal image quality assessment networks in different color-spaces
Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal
imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated …
imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated …
DR| GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and
follow up of patient, but the screening process can be tiresome and prone to errors. Deep …
follow up of patient, but the screening process can be tiresome and prone to errors. Deep …
EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network
Retinal images are a key element for ophthalmologists in diagnosing a variety of eye
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …
An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to …
Annual diabetic retinopathy screening using digital photographs of the retina assessed by
human graders is recognised as the best way to detect vision-threatening disease and …
human graders is recognised as the best way to detect vision-threatening disease and …
Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
L Cao, H Li, Y Zhang, L Zhang, L Xu - Information Fusion, 2020 - Elsevier
Cataracts, which are lenticular opacities that may occur at different lens locations, are the
leading cause of visual impairment worldwide. Accurate and timely diagnosis can improve …
leading cause of visual impairment worldwide. Accurate and timely diagnosis can improve …
Domain-invariant interpretable fundus image quality assessment
Objective and quantitative assessment of fundus image quality is essential for the diagnosis
of retinal diseases. The major factors in fundus image quality assessment are image artifact …
of retinal diseases. The major factors in fundus image quality assessment are image artifact …
Retinal image quality assessment using deep learning
Poor-quality retinal images do not allow an accurate medical diagnosis, and it is
inconvenient for a patient to return to a medical center to repeat the fundus photography …
inconvenient for a patient to return to a medical center to repeat the fundus photography …