cnn matlab r2018a Search Results


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Cnn Matlab R2018a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc r2018a deep learning toolbox tm
R2018a Deep Learning Toolbox Tm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R2018a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc cnn software
Summary of brain tumor scientific papers in terms of <t> CNN </t> architecture, and type of environment used in the selected papers.
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Summary of brain tumor scientific papers in terms of <t> CNN </t> architecture, and type of environment used in the selected papers.
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MathWorks Inc cnn dcnn
<t> Cnn </t> based classification and performance.
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MathWorks Inc pretrained alexnet cnn
Architecture of the proposed method <t>convolutional</t> <t>neural</t> <t>network</t> <t>(CNN).</t>
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Studies employing Wearable Sensors.
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Image Search Results


Summary of brain tumor scientific papers in terms of  CNN  architecture, and type of environment used in the selected papers.

Journal: Journal of Imaging

Article Title: Deep Learning in Selected Cancers’ Image Analysis—A Survey

doi: 10.3390/jimaging6110121

Figure Lengend Snippet: Summary of brain tumor scientific papers in terms of CNN architecture, and type of environment used in the selected papers.

Article Snippet: A CNN developed in Matlab R2018a (The MathWorks) was employed for the tumor classification.

Techniques:

Summary of colorectal cancer in terms of  CNN  architecture and type of environment used in the selected papers.

Journal: Journal of Imaging

Article Title: Deep Learning in Selected Cancers’ Image Analysis—A Survey

doi: 10.3390/jimaging6110121

Figure Lengend Snippet: Summary of colorectal cancer in terms of CNN architecture and type of environment used in the selected papers.

Article Snippet: A CNN developed in Matlab R2018a (The MathWorks) was employed for the tumor classification.

Techniques:

 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: [ ] , 2020 , CNN , DCNN , Public/MR (T1 WCE) , MATLAB R2018a , 3064.

Techniques: Blocking Assay, Plasmid Preparation

Architecture of the proposed method convolutional neural network (CNN).

Journal: Sensors (Basel, Switzerland)

Article Title: Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction

doi: 10.3390/s20143857

Figure Lengend Snippet: Architecture of the proposed method convolutional neural network (CNN).

Article Snippet: A pretrained AlexNet CNN was utilized from MATLAB R2018a Deep Learning Toolbox TM in the system [ ].

Techniques:

Average execution time of the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction

doi: 10.3390/s20143857

Figure Lengend Snippet: Average execution time of the proposed method.

Article Snippet: A pretrained AlexNet CNN was utilized from MATLAB R2018a Deep Learning Toolbox TM in the system [ ].

Techniques: Transformation Assay

Studies employing Wearable Sensors.

Journal: Sensors (Basel, Switzerland)

Article Title: The Role of Deep Learning and Gait Analysis in Parkinson’s Disease: A Systematic Review

doi: 10.3390/s24185957

Figure Lengend Snippet: Studies employing Wearable Sensors.

Article Snippet: In particular, a pre-trained AlexNet CNN was utilized from MATLAB R2018a DL ToolboxTM in this system.

Techniques: Derivative Assay, Selection, Standard Deviation

Studies employing Video Capture.

Journal: Sensors (Basel, Switzerland)

Article Title: The Role of Deep Learning and Gait Analysis in Parkinson’s Disease: A Systematic Review

doi: 10.3390/s24185957

Figure Lengend Snippet: Studies employing Video Capture.

Article Snippet: In particular, a pre-trained AlexNet CNN was utilized from MATLAB R2018a DL ToolboxTM in this system.

Techniques: Comparison, Control