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Automated detection of diabetic retinopathy on digital fundus ima…
- https://pubmed.ncbi.nlm.nih.gov/11874425/#:~:text=Automated%20detection%20of%20diabetic%20retinopathy%20on%20digital%20fundus,performance%20pre-processing%20of%20the%20colour%20images%20was%20performed.
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Automated detection of diabetic retinopathy on digital …
- https://pubmed.ncbi.nlm.nih.gov/11874425/
- Abstract. Aims: The aim was to develop an automated screening system to analyse digital colour retinal images for important features of non-proliferative diabetic retinopathy (NPDR). Methods: High performance pre-processing of the colour images was performed. Previously described automated image analysis systems were used to detect major landmarks of the retinal image …
Automatic detection of diabetic retinopathy in digital …
- https://www.researchgate.net/publication/46670050_Automatic_detection_of_diabetic_retinopathy_in_digital_fundus_photographs
- Request PDF | Automatic detection of diabetic retinopathy in digital fundus photographs | Diabetic retinopathy is a common ocular complication of diabetes. It is …
Automated detection of diabetic retinopathy in a fundus …
- https://www.ncbi.nlm.nih.gov/pubmed/12556412
- conclusions: automated detection of untreated diabetic retinopathy in fundus photographs from a screening population of patients with diabetes can be made with adjustable priority settings, emphasizing high-sensitivity identification of diabetic retinopathy or high-specificity identification of absence of retinopathy, covering opposing extremes …
Automated detection of diabetic retinopathy on digital …
- https://www.researchgate.net/publication/11489041_Automated_detection_of_diabetic_retinopathy_on_digital_fundus_images
- An automated screening system has been developed in [13] to analyze digital color retinal image. Pre-processing of color image, identification of main retinal components and recognition of …
Automated diabetic retinopathy detection in smartphone …
- https://pubmed.ncbi.nlm.nih.gov/29520050/
- Automated AI analysis of FOP smartphone retinal imaging has very high sensitivity for detecting DR and STDR and thus can be an initial tool for mass retinal screening in people with diabetes. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
Automatic Detection of Diabetic Retinopathy and Age …
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176039/
- Retinal photography for DR has been promoted for decades for both the screening of the disease and in landmark clinical research studies, such as the Early Treatment Diabetic Retinopathy Study (ETDRS). 4 Although the ETDRS standard fields of view (FOVs) may be regarded as the current gold standard 5 for diagnosis of retinal disease, studies ...
Automatic detection of diabetic retinopathy and age …
- https://pubmed.ncbi.nlm.nih.gov/21666234/
- Automatic detection of diabetic retinopathy and age-related macular degeneration in digital fundus images Abstract Purpose: To describe and evaluate the performance of an algorithm that automatically classifies images with pathologic features commonly found in diabetic retinopathy (DR) and age-related macular degeneration (AMD).
Algorithms for the automated detection of diabetic …
- https://pubmed.ncbi.nlm.nih.gov/20703740/
- Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review Abstract Diabetes is a chronic end organ disease that occurs when the pancreas does not secrete enough insulin or the body is unable to process it properly. Over time, diabetes affects the circulatory system, including that of the retina.
Automatic Diagnosis of Diabetic Retinopathy from …
- https://www.researchgate.net/publication/258240163_Automatic_Diagnosis_of_Diabetic_Retinopathy_from_Fundus_Images_Using_Digital_Signal_and_Image_Processing_Techniques
- Automatic diagnosis and display of diabetic retinopathy from images of retina using the technique s of digital signal and image processing is p resented in this paper. The acquired images undergo...
Analyzing fundus images to detect diabetic retinopathy …
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940941/
- A DLS with a convolutional neural network was developed to recognize fundus images of referable diabetic retinopathy. A total data set of 41,866 color fundus images were obtained from 17 cities in the Yangtze River Delta Urban Agglomeration (YRDUA). Five experienced retinal specialists and 15 ophthalmologists were recruited to verify images.
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