Nov 8, 2021 · This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which impairment occurs to the ...
Nov 29, 2021 · This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which ...
This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which impairment occurs to the ...
ABSTRACT This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which impairment ...
Jan 2, 2024 · Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm.
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Hybrid Explainable Artificial Intelligence Models for Targeted ...
www.ncbi.nlm.nih.gov › PMC11241009
Jun 27, 2024 · Hybrid CNN-SVD based prominent feature extraction and selection for grading diabetic retinopathy using extreme learning machine algorithm.
M Nahiduzzaman, Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm, IEEE ...
May 1, 2023 · A parallel convolutional neural network (PCNN) was employed for feature extraction and then the extreme learning machine (ELM) technique was ...
A new diabetic retinopathy monitoring model is proposed by using the Contrast Limited Adaptive Histogram Equalization method to improve the image quality.
Sep 25, 2024 · ... Hybrid CNN-SVD based prominent feature extraction and selection for grading diabetic retinopathy using extreme learning machine algorithm.