[HTML][HTML] Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review

V Mayya, S Kamath, U Kulkarni - Computer Methods and Programs in …, 2021 - Elsevier
Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …

A survey on medical image analysis in diabetic retinopathy

S Stolte, R Fang - Medical image analysis, 2020 - Elsevier
Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …

Microaneurysm detection in fundus images using a two-step convolutional neural network

N Eftekhari, HR Pourreza, M Masoudi… - Biomedical engineering …, 2019 - Springer
Background and objectives Diabetic retinopathy (DR) is the leading cause of blindness
worldwide, and therefore its early detection is important in order to reduce disease-related …

Detecting severity of diabetic retinopathy from fundus images using ensembled transformers

C Adak, T Karkera, S Chattopadhyay… - arXiv preprint arXiv …, 2023 - arxiv.org
Diabetic Retinopathy (DR) is considered one of the primary concerns due to its effect on
vision loss among most people with diabetes globally. The severity of DR is mostly …

Microaneurysms segmentation with a U-Net based on recurrent residual convolutional neural network

C Kou, W Li, W Liang, Z Yu… - Journal of Medical Imaging, 2019 - spiedigitallibrary.org
Microaneurysms (MAs) play an important role in the diagnosis of clinical diabetic retinopathy
at the early stage. Annotation of MAs manually by experts is laborious and so it is essential …

Image processing and machine learning techniques for diabetic retinopathy detection: a review

SS Rahim, V Palade, A Holzinger - … Learning for Digital Pathology: State-of …, 2020 - Springer
An effective automatic diagnosis and grading of diabetic retinopathy would be very useful in
the management of the diabetic retinopathy within the national health system. The detection …

Microaneurysm detection in fundus images based on a novel end-to-end convolutional neural network

Y Liao, H Xia, S Song, H Li - Biocybernetics and Biomedical Engineering, 2021 - Elsevier
Microaneurysms are the earliest symptom of diabetic retinopathy and play an important role
in the screening of diabetic retinopathy. However, because of the complex background …

Physiological indicators for user trust in machine learning with influence enhanced fact-checking

J Zhou, H Hu, Z Li, K Yu, F Chen - … and Knowledge Extraction: Third IFIP TC …, 2019 - Springer
Abstract Trustworthy Machine Learning (ML) is one of significant challenges of “black-box”
ML for its wide impact on practical applications. This paper investigates the effects of …

A magnified adaptive feature pyramid network for automatic microaneurysms detection

S Sun, Z Cao, D Liao, R Lv - Computers in Biology and Medicine, 2021 - Elsevier
Diabetic retinopathy (DR), as an important complication of diabetes, is the primary cause of
blindness in adults. Automatic DR detection poses a challenge which is crucial for early DR …

Intelligent automated detection of microaneurysms in fundus images using feature-set tuning

I Usman, KA Almejalli - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the widespread of diabetes mellitus and its associated complications, a need for
early detection of the leading symptoms in the masses is felt like never before. One of the …