Automated detection of microaneurysms using Stockwell transform and statistical features-Reference-Cited by-同舟云学术

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Automated detection of microaneurysms using Stockwell transform and statistical features

Published:2019-05-22 Issue:8 Volume:13 Page:1341-1348
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Deepa V.¹,Sathish Kumar C.²^ORCID,Susan Andrews Sheena³

Affiliation:

1. Department of Electrical & Electronics EngineeringRajiv Gandhi Institute of TechnologyKottayamnKeralaIndia

2. Department of Electronics & Communication EngineeringRajiv Gandhi Institute of TechnologyKottayamnKeralaIndia

3. Department of Medical RetinaBharath HospitalKottayamnKeralaIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5672

Reference48 articles.

1. Automatic detection of microaneurysms in retinal fundus images

2. Detection of microaneurysms using multi-scale correlation coefficients

3. Automated detection and quantification of microaneurysms in fluorescein angiograms;Spencer T.;Graefes Arch. Clin. Exp.,1992

4. Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.

5. Automatic detection of red lesions in digital color fundus photographs

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1. Advances in retinal microaneurysms detection, segmentation and datasets for the diagnosis of diabetic retinopathy: a systematic literature review;Multimedia Tools and Applications;2024-02-13

2. Enhancing Diabetic Retinopathy Diagnosis with ResNet-50-Based Transfer Learning: A Promising Approach;Annals of Data Science;2023-09-19

3. Microaneurysms detection in retinal fundus images based on shape constraint with region-context features;Biomedical Signal Processing and Control;2023-08

4. Automatic Microaneurysyms Detection using Deep Learning from Fundus Images;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

5. T-Net: Hierarchical Pyramid Network for Microaneurysm Detection in Retinal Fundus Image;IEEE Transactions on Instrumentation and Measurement;2023

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