Convolutional neural networks for the automatic identification of plant diseases
Deep learning techniques, and in particular Convolutional Neural Networks (CNNs), have
led to significant progress in image processing. Since 2016, many applications for the …
led to significant progress in image processing. Since 2016, many applications for the …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Deep learning for plant diseases: detection and saliency map visualisation
Recently, many researchers have been inspired by the success of deep learning in
computer vision to improve the performance of detection systems for plant diseases …
computer vision to improve the performance of detection systems for plant diseases …
[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
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 …
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
Retinal fundus image analysis (RFIA) for diabetic retinopathy (DR) screening can be used to
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
Application of deep learning for retinal image analysis: A review
Retinal image analysis holds an imperative position for the identification and classification of
retinal diseases such as Diabetic Retinopathy (DR), Age Related Macular Degeneration …
retinal diseases such as Diabetic Retinopathy (DR), Age Related Macular Degeneration …
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
E Özbay - Artificial Intelligence Review, 2023 - Springer
Retinal fundus image analysis (RFIA) is frequently used in diabetic retinopathy (DR) scans
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
[HTML][HTML] AI-based monitoring of retinal fluid in disease activity and under therapy
U Schmidt-Erfurth, GS Reiter, S Riedl… - Progress in retinal and …, 2022 - Elsevier
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
high-resolution three-dimensional optical coherence tomography (OCT), which is used …
[HTML][HTML] Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate …
Convolutional neural networks (CNNs) are state-of-the-art computer vision techniques for
various tasks, particularly for image classification. However, there are domains where the …
various tasks, particularly for image classification. However, there are domains where the …
Recent development on detection methods for the diagnosis of diabetic retinopathy
Diabetic retinopathy (DR) is a complication of diabetes that exists throughout the world. DR
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …