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Image Search Results


Cnn based classification and performance.

Journal: Heliyon

Article Title: Context aware machine learning techniques for brain tumor classification and detection – A review

doi: 10.1016/j.heliyon.2025.e41835

Figure Lengend Snippet: Cnn based classification and performance.

Article Snippet: [ ] , 2019 , DNN , CNN AlexNet Linear-SVM , ILSVRC-2012 Image-Net , Caffe, MATLAB , 164.

Techniques: Blocking Assay, Plasmid Preparation

Different deep learning systems for optical pathology detection.

Journal: F1000Research

Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

doi: 10.12688/f1000research.122288.2

Figure Lengend Snippet: Different deep learning systems for optical pathology detection.

Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

Techniques: Modification

Proposed system for glaucoma and diabetic retinopathy detection using AlexNet.

Journal: F1000Research

Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

doi: 10.12688/f1000research.122288.2

Figure Lengend Snippet: Proposed system for glaucoma and diabetic retinopathy detection using AlexNet.

Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

Techniques:

Proposed neural network architecture for eye diseases detection based on AlexNet.

Journal: F1000Research

Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

doi: 10.12688/f1000research.122288.2

Figure Lengend Snippet: Proposed neural network architecture for eye diseases detection based on AlexNet.

Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

Techniques:

Computational Adjustments for AlexNet, GoogLeNet, and ResNet50 Training Parameters.

Journal: F1000Research

Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

doi: 10.12688/f1000research.122288.2

Figure Lengend Snippet: Computational Adjustments for AlexNet, GoogLeNet, and ResNet50 Training Parameters.

Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

Techniques:

Comparison between related studies.

Journal: F1000Research

Article Title: Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network

doi: 10.12688/f1000research.122288.2

Figure Lengend Snippet: Comparison between related studies.

Article Snippet: This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy.

Techniques: Comparison, Extraction, Modification