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Sony neural network console (nnc
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Neural Network Basecalling Tools, supplied by Oxford Nanopore, 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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Neural Networks Software Version 8.0, supplied by TIBCO, 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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Vggnet Convolutional Neural Network Architecture, supplied by Deepmind Technologies Ltd, 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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EyePACS LLC inception-v3-architecture neural network
Literature Review on ML and DL models for early detection of DR
Inception V3 Architecture Neural Network, 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
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TIBCO automated neural networks
ANN construction. Source: https://www.periodontalchart-online.com/uk/ (accessed on 1 May 2020). Periodontal chart with input layer (n = 543), hidden layer (n = 19) and output layer (n = 4) which refers to periodontitis grading. Sex, age, smoking, approximal plaque index, bleeding on probing, periodontal pocket depth, and maximal interproximal loss of connective tissue attachment were all taken into account by the artificial neural network. For each patient, a set of 543 inputs was produced. By the use of the <t>Statistica</t> Automated Neural Networks, TIBCO Software Inc. (2017). Statistica (data analysis software system), version 13. http://statistica.io (accessed on 1 September 2021) the output layer has been received. The output layer consists of three grades (A,B,C) and a group of healthy patients.
Automated Neural Networks, supplied by TIBCO, 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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Deep Space Industries convolutional neural network
Summary of AI methods in Spatial Transcriptomics Analysis.
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Baier labs deep neural network
Summary of AI methods in Spatial Transcriptomics Analysis.
Deep Neural Network, supplied by Baier labs, 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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INTELLIGENSYS LIMITED anns software inform v4.02
Summary of AI methods in Spatial Transcriptomics Analysis.
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Image Search Results


Literature Review on ML and DL models for early detection of DR

Journal: Multimedia Tools and Applications

Article Title: A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning

doi: 10.1007/s11042-022-12642-4

Figure Lengend Snippet: Literature Review on ML and DL models for early detection of DR

Article Snippet: Gardner et al. [ ] , EyePACS-1 MESSIDOR-2 , HE and MA , Inception-V3-architecture Neural Network , Ensemble of 10 networks , EyePACS-1: AUC of 0.991 MESSIDOR-2: AUC of 0.990.

Techniques: Biomarker Discovery

ANN construction. Source: https://www.periodontalchart-online.com/uk/ (accessed on 1 May 2020). Periodontal chart with input layer (n = 543), hidden layer (n = 19) and output layer (n = 4) which refers to periodontitis grading. Sex, age, smoking, approximal plaque index, bleeding on probing, periodontal pocket depth, and maximal interproximal loss of connective tissue attachment were all taken into account by the artificial neural network. For each patient, a set of 543 inputs was produced. By the use of the Statistica Automated Neural Networks, TIBCO Software Inc. (2017). Statistica (data analysis software system), version 13. http://statistica.io (accessed on 1 September 2021) the output layer has been received. The output layer consists of three grades (A,B,C) and a group of healthy patients.

Journal: Journal of Clinical Medicine

Article Title: Evaluation of the Progression of Periodontitis with the Use of Neural Networks

doi: 10.3390/jcm11164667

Figure Lengend Snippet: ANN construction. Source: https://www.periodontalchart-online.com/uk/ (accessed on 1 May 2020). Periodontal chart with input layer (n = 543), hidden layer (n = 19) and output layer (n = 4) which refers to periodontitis grading. Sex, age, smoking, approximal plaque index, bleeding on probing, periodontal pocket depth, and maximal interproximal loss of connective tissue attachment were all taken into account by the artificial neural network. For each patient, a set of 543 inputs was produced. By the use of the Statistica Automated Neural Networks, TIBCO Software Inc. (2017). Statistica (data analysis software system), version 13. http://statistica.io (accessed on 1 September 2021) the output layer has been received. The output layer consists of three grades (A,B,C) and a group of healthy patients.

Article Snippet: All calculations were performed in the Statistica Automated Neural Networks, TIBCO Software Inc. (Palo Alto, CA, USA, 2017).

Techniques: Produced, Software

Summary of AI methods in Spatial Transcriptomics Analysis.

Journal: Computational and Structural Biotechnology Journal

Article Title: Emerging artificial intelligence applications in Spatial Transcriptomics analysis

doi: 10.1016/j.csbj.2022.05.056

Figure Lengend Snippet: Summary of AI methods in Spatial Transcriptomics Analysis.

Article Snippet: DeepSpaCE is a semi-supervised learning method that imputes spatial gene expression from H&E images and enhances the resolution of ST data using convolutional neural networks.

Techniques: Software, Gene Expression, Comparison, Expressing, Generated, Introduce

General schematic of (a) the fully connected neural network, (b) the convolutional neural network, (c) the graph convolutional neural network, and (d) the autoencoder.

Journal: Computational and Structural Biotechnology Journal

Article Title: Emerging artificial intelligence applications in Spatial Transcriptomics analysis

doi: 10.1016/j.csbj.2022.05.056

Figure Lengend Snippet: General schematic of (a) the fully connected neural network, (b) the convolutional neural network, (c) the graph convolutional neural network, and (d) the autoencoder.

Article Snippet: DeepSpaCE is a semi-supervised learning method that imputes spatial gene expression from H&E images and enhances the resolution of ST data using convolutional neural networks.

Techniques: