The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review
Diabetic retinopathy (DR) is a chronic eye condition that is rapidly growing due to the
prevalence of diabetes. There are challenges such as the dearth of ophthalmologists …
prevalence of diabetes. There are challenges such as the dearth of ophthalmologists …
Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: A review
MB Gonçalves, LF Nakayama, D Ferraz, H Faber… - Eye, 2024 - nature.com
This study aimed to evaluate the image quality assessment (IQA) and quality criteria
employed in publicly available datasets for diabetic retinopathy (DR). A literature search …
employed in publicly available datasets for diabetic retinopathy (DR). A literature search …
A novel negative-transfer-resistant fuzzy clustering model with a shared cross-domain transfer latent space and its application to brain CT image segmentation
Traditional clustering algorithms for medical image segmentation can only achieve
satisfactory clustering performance under relatively ideal conditions, in which there is …
satisfactory clustering performance under relatively ideal conditions, in which there is …
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
This paper proposes a deep image analysis–based model for glaucoma diagnosis that uses
several features to detect the formation of glaucoma in retinal fundus. These features are …
several features to detect the formation of glaucoma in retinal fundus. These features are …
MSHF: a multi-source heterogeneous fundus (MSHF) dataset for image quality assessment
Image quality assessment (IQA) is significant for current techniques of image-based
computer-aided diagnosis, and fundus imaging is the chief modality for screening and …
computer-aided diagnosis, and fundus imaging is the chief modality for screening and …
[HTML][HTML] Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems
Automated fundus screening is becoming a significant programme of telemedicine in
ophthalmology. Instant quality evaluation of uploaded retinal images could decrease …
ophthalmology. Instant quality evaluation of uploaded retinal images could decrease …
Open fundus photograph dataset with pathologic myopia recognition and anatomical structure annotation
Pathologic myopia (PM) is a common blinding retinal degeneration suffered by highly
myopic population. Early screening of this condition can reduce the damage caused by the …
myopic population. Early screening of this condition can reduce the damage caused by the …
I-secret: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
Fundus image quality is crucial for screening various ophthalmic diseases. In this paper, we
proposed and validated a novel fundus image enhancement method, named importance …
proposed and validated a novel fundus image enhancement method, named importance …
FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading
O Abramovich, H Pizem, J Van Eijgen, I Oren… - Computer Methods and …, 2023 - Elsevier
Objective: Ophthalmological pathologies such as glaucoma, diabetic retinopathy and age-
related macular degeneration are major causes of blindness and vision impairment. There is …
related macular degeneration are major causes of blindness and vision impairment. There is …
Dehaze of cataractous retinal images using an unpaired generative adversarial network
Y Luo, K Chen, L Liu, J Liu, J Mao… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Cataracts are the leading cause of visual impairment worldwide. Examination of the retina
through cataracts using a fundus camera is challenging and error-prone due to degraded …
through cataracts using a fundus camera is challenging and error-prone due to degraded …