A survey on deep learning in medical image analysis

G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi… - Medical image …, 2017 - Elsevier
Deep learning algorithms, in particular convolutional networks, have rapidly become a
methodology of choice for analyzing medical images. This paper reviews the major deep …

A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning

D Das, SK Biswas, S Bandyopadhyay - Multimedia Tools and Applications, 2022 - Springer
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …

[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

N Tsiknakis, D Theodoropoulos, G Manikis… - Computers in biology …, 2021 - Elsevier
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …

Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey

N Asiri, M Hussain, F Al Adel, N Alzaidi - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …

Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods

G Selvachandran, SG Quek, R Paramesran… - Artificial intelligence …, 2023 - Springer
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …

Application of deep learning for retinal image analysis: A review

M Badar, M Haris, A Fatima - Computer Science Review, 2020 - Elsevier
Retinal image analysis holds an imperative position for the identification and classification of
retinal diseases such as Diabetic Retinopathy (DR), Age Related Macular Degeneration …

Machine learning‐enabled smart sensor systems

N Ha, K Xu, G Ren, A Mitchell… - Advanced Intelligent …, 2020 - Wiley Online Library
Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

Automatic detection of diabetic eye disease through deep learning using fundus images: a survey

R Sarki, K Ahmed, H Wang, Y Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …

A systematic review on diabetic retinopathy detection using deep learning techniques

R Vij, S Arora - Archives of Computational Methods in Engineering, 2023 - Springer
Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …

Transfer learning based detection of diabetic retinopathy from small dataset

MT Hagos, S Kant - arxiv preprint arxiv:1905.07203, 2019 - arxiv.org
Annotated training data insufficiency remains to be one of the challenges of applying deep
learning in medical data classification problems. Transfer learning from an already trained …