cnn software Search Results


cnn software  (RStudio)
90
RStudio cnn software
Schematic description of the initial (‘out-of-box’) <t>convolutional</t> <t>neural</t> <t>network</t> <t>(CNN)</t> used for the binary classification of a valid compound motor action potential (cMAP) or a non-response. This CNN was modified from a published algorithm for classifying handwritten digits or characters in the Modified National Institute of Standards and Technology (MNIST) dataset. The CNN used for this study consists of a single input, three hidden layers, and two outputs. The input is the raster image of the processed EMG waveform at the adductor pollicis or abductor digiti minimi muscles after electrical stimulation of the ulnar nerve, as described in . The three sequential hidden layers have 512, 256, and 128 nodes with rectified linear unit (relu) activation and a dropout applied after each to reduce overfitting. The model was fit using five epochs with a batch size of 128. The output layer uses softmax activation to assign a probability that the waveform is a valid cMAP or a non-response.
Cnn Software, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn software/product/RStudio
Average 90 stars, based on 1 article reviews
cnn software - by Bioz Stars, 2026-04
90/100 stars
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cnn and inception-v4 network-based software variseetm  (EyePACS LLC)
90
EyePACS LLC cnn and inception-v4 network-based software variseetm
A comparison of reported deep learning techniques for screening and recognition.
Cnn And Inception V4 Network Based Software Variseetm, supplied by EyePACS LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn and inception-v4 network-based software variseetm/product/EyePACS LLC
Average 90 stars, based on 1 article reviews
cnn and inception-v4 network-based software variseetm - by Bioz Stars, 2026-04
90/100 stars
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cnn implemented in a common planning software  (MediCAD HECTEC)
90
MediCAD HECTEC cnn implemented in a common planning software
A comparison of reported deep learning techniques for screening and recognition.
Cnn Implemented In A Common Planning Software, supplied by MediCAD HECTEC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn implemented in a common planning software/product/MediCAD HECTEC
Average 90 stars, based on 1 article reviews
cnn implemented in a common planning software - by Bioz Stars, 2026-04
90/100 stars
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convolutional neural network  (Aiforia Technologies)
90
Aiforia Technologies convolutional neural network
A comparison of reported deep learning techniques for screening and recognition.
Convolutional Neural Network, supplied by Aiforia Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/convolutional neural network/product/Aiforia Technologies
Average 90 stars, based on 1 article reviews
convolutional neural network - by Bioz Stars, 2026-04
90/100 stars
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1d-cnn  (GraphPad Software Inc)
90
GraphPad Software Inc 1d-cnn
A comparison of reported deep learning techniques for screening and recognition.
1d Cnn, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/1d-cnn/product/GraphPad Software Inc
Average 90 stars, based on 1 article reviews
1d-cnn - by Bioz Stars, 2026-04
90/100 stars
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paired t-test between cnn and rf  (MedCalc Software Ltd)
90
MedCalc Software Ltd paired t-test between cnn and rf
A comparison of reported deep learning techniques for screening and recognition.
Paired T Test Between Cnn And Rf, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/paired t-test between cnn and rf/product/MedCalc Software Ltd
Average 90 stars, based on 1 article reviews
paired t-test between cnn and rf - by Bioz Stars, 2026-04
90/100 stars
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cnn software  (DEEPHEALTH INC)
90
DEEPHEALTH INC cnn software
A comparison of reported deep learning techniques for screening and recognition.
Cnn Software, supplied by DEEPHEALTH INC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn software/product/DEEPHEALTH INC
Average 90 stars, based on 1 article reviews
cnn software - by Bioz Stars, 2026-04
90/100 stars
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cnn planning software  (MediCAD HECTEC)
90
MediCAD HECTEC cnn planning software
Papers on AI tools applied to diagnoses of knee conditions.
Cnn Planning Software, supplied by MediCAD HECTEC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn planning software/product/MediCAD HECTEC
Average 90 stars, based on 1 article reviews
cnn planning software - by Bioz Stars, 2026-04
90/100 stars
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trained cnn model  (MedCalc Software Ltd)
90
MedCalc Software Ltd trained cnn model
Papers on AI tools applied to diagnoses of knee conditions.
Trained Cnn Model, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/trained cnn model/product/MedCalc Software Ltd
Average 90 stars, based on 1 article reviews
trained cnn model - by Bioz Stars, 2026-04
90/100 stars
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3d convolutional neural network (cnn)  (MIM Software Inc)
90
MIM Software Inc 3d convolutional neural network (cnn)
Papers on AI tools applied to diagnoses of knee conditions.
3d Convolutional Neural Network (Cnn), supplied by MIM Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/3d convolutional neural network (cnn)/product/MIM Software Inc
Average 90 stars, based on 1 article reviews
3d convolutional neural network (cnn) - by Bioz Stars, 2026-04
90/100 stars
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cnn-based automatic tumor detection software  (Siemens Healthineers)
90
Siemens Healthineers cnn-based automatic tumor detection software
Papers on AI tools applied to diagnoses of knee conditions.
Cnn Based Automatic Tumor Detection Software, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cnn-based automatic tumor detection software/product/Siemens Healthineers
Average 90 stars, based on 1 article reviews
cnn-based automatic tumor detection software - by Bioz Stars, 2026-04
90/100 stars
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fast r-cnn  (Viscovery Software GmbH)
90
Viscovery Software GmbH fast r-cnn
Papers on AI tools applied to diagnoses of knee conditions.
Fast R Cnn, supplied by Viscovery Software GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/fast r-cnn/product/Viscovery Software GmbH
Average 90 stars, based on 1 article reviews
fast r-cnn - by Bioz Stars, 2026-04
90/100 stars
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Image Search Results


Schematic description of the initial (‘out-of-box’) convolutional neural network (CNN) used for the binary classification of a valid compound motor action potential (cMAP) or a non-response. This CNN was modified from a published algorithm for classifying handwritten digits or characters in the Modified National Institute of Standards and Technology (MNIST) dataset. The CNN used for this study consists of a single input, three hidden layers, and two outputs. The input is the raster image of the processed EMG waveform at the adductor pollicis or abductor digiti minimi muscles after electrical stimulation of the ulnar nerve, as described in . The three sequential hidden layers have 512, 256, and 128 nodes with rectified linear unit (relu) activation and a dropout applied after each to reduce overfitting. The model was fit using five epochs with a batch size of 128. The output layer uses softmax activation to assign a probability that the waveform is a valid cMAP or a non-response.

Journal: BJA Open

Article Title: Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study ☆

doi: 10.1016/j.bjao.2023.100236

Figure Lengend Snippet: Schematic description of the initial (‘out-of-box’) convolutional neural network (CNN) used for the binary classification of a valid compound motor action potential (cMAP) or a non-response. This CNN was modified from a published algorithm for classifying handwritten digits or characters in the Modified National Institute of Standards and Technology (MNIST) dataset. The CNN used for this study consists of a single input, three hidden layers, and two outputs. The input is the raster image of the processed EMG waveform at the adductor pollicis or abductor digiti minimi muscles after electrical stimulation of the ulnar nerve, as described in . The three sequential hidden layers have 512, 256, and 128 nodes with rectified linear unit (relu) activation and a dropout applied after each to reduce overfitting. The model was fit using five epochs with a batch size of 128. The output layer uses softmax activation to assign a probability that the waveform is a valid cMAP or a non-response.

Article Snippet: A CNN in RStudio was built based on a published example of code used to process the Modified National Institute of Standards and Technology (MNIST) image dataset of handwritten digits ( ).

Techniques: Modification, Muscles, Activation Assay

A comparison of reported deep learning techniques for screening and recognition.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

doi: 10.3390/s22186780

Figure Lengend Snippet: A comparison of reported deep learning techniques for screening and recognition.

Article Snippet: Yi-Ting Hsieh et al. [ ] , CNN and Inception-V4 network-based software named VariSeeTM , Not Mentioned , Custom-developed at National Taiwan University Hospital between July 2007 and June 2017 + EyePACS , 39,136 , Color fundus images , Maximum accuracy = 98.4%.

Techniques: Software

Papers on AI tools applied to diagnoses of knee conditions.

Journal: Medicina

Article Title: Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review

doi: 10.3390/medicina61040737

Figure Lengend Snippet: Papers on AI tools applied to diagnoses of knee conditions.

Article Snippet: Hoffmann et al. [ ] tested the performance of a CNN implemented in a common planning software (mediCAD ® 7.0; mediCAD Hectec GmbH) that allows analysis and preoperative planning.

Techniques: Imaging, Diagnostic Assay, Sequencing, Software, Labeling, Biomarker Discovery, Magnetic Resonance Imaging

Papers reviewed on AI tools applied to surgical planning.

Journal: Medicina

Article Title: Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review

doi: 10.3390/medicina61040737

Figure Lengend Snippet: Papers reviewed on AI tools applied to surgical planning.

Article Snippet: Hoffmann et al. [ ] tested the performance of a CNN implemented in a common planning software (mediCAD ® 7.0; mediCAD Hectec GmbH) that allows analysis and preoperative planning.

Techniques: Imaging, Diagnostic Assay, Software, Immunocytochemistry, Generated, Functional Assay, Biomarker Discovery