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inception-resnet v2  (MathWorks Inc)


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    MathWorks Inc inception-resnet v2
    Inception Resnet V2, 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
    https://www.bioz.com/product/inception-v2/pmc11001234-84-27-1
    Average 90 stars, based on 1 article reviews
    inception-resnet v2 - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence
    Article Snippet: In MATLAB, all the available 19 pretrained convolutional neural network (CNN) models, including SqueezeNet, ResNet-18, GoogleNet, ResNet-50, DarkNet-53, DarkNet-19, ShuffleNet, NasnetMobile, Nasnet Large, Xception, Place-365-Google, MobileNet V2, DenseNet-201, Inception-ResNet V2, Inception-V3, ResNet-101, VGG-19, VGG-16, and AlexNet, were trained using our datasets.

    Article Title: Energy-efficient model “DenseNet201 based on deep convolutional neural network” using cloud platform for detection of COVID-19 infected patients
    Article Snippet: Objective: Theoutbreak of the coronavirus causedmajor problems inmore than 151 countries around theworld.. An important step in the fight against coronavirus is the search for infected people.. The goal of this article is to predict COVID-19 infectious patients.

    Article Title: Topical Henna Application Causing Acute Kidney Injury and Acute Hemolytic Anemia.
    Article Snippet: In MATLAB, all the available 19 pretrained convolutional neural network (CNN) models, including SqueezeNet, ResNet‐18, GoogleNet, ResNet‐50, DarkNet‐53, DarkNet‐19, ShuffleNet, NasnetMobile, Nasnet Large, Xception, Place‐365‐Google, MobileNet V2, DenseNet‐201, Inception‐ResNet V2, Inception‐V3, ResNet‐101, VGG‐19, VGG‐16, and AlexNet, were trained using our datasets.

    Staining:

    Article Title: Label-free multimodal optical biopsy reveals biomolecular and morphological features of diabetic kidney tissue in 2D and 3D
    Article Snippet: Images were imported into the HALO AI platform by IndicaLabs and single glomeruli were manually annotated in each image. .. In all cases, SRH efficiently detected glomeruli as well as histologically stained samples. b 16 representative images of glomeruli were cropped from various patient samples in both control and diabetic groups. c The network architecture of DenseNet201 is briefly explained using the MATLAB R2024a release implementation. d The DenseNet201 network was trained using 5 Epochs, with 25 iterations per Epoch using a single Nvidia RTX 4080 and took less than 15 min. e The cross validation matrix shows an accuracy of 0.9762, sensitivity of 1, specificity of 0.9583, and precision of 0.9474, resulting in an F1 score of 97.22%. ..

    Control:

    Article Title: Label-free multimodal optical biopsy reveals biomolecular and morphological features of diabetic kidney tissue in 2D and 3D
    Article Snippet: Images were imported into the HALO AI platform by IndicaLabs and single glomeruli were manually annotated in each image. .. In all cases, SRH efficiently detected glomeruli as well as histologically stained samples. b 16 representative images of glomeruli were cropped from various patient samples in both control and diabetic groups. c The network architecture of DenseNet201 is briefly explained using the MATLAB R2024a release implementation. d The DenseNet201 network was trained using 5 Epochs, with 25 iterations per Epoch using a single Nvidia RTX 4080 and took less than 15 min. e The cross validation matrix shows an accuracy of 0.9762, sensitivity of 1, specificity of 0.9583, and precision of 0.9474, resulting in an F1 score of 97.22%. ..

    Biomarker Discovery:

    Article Title: Label-free multimodal optical biopsy reveals biomolecular and morphological features of diabetic kidney tissue in 2D and 3D
    Article Snippet: Images were imported into the HALO AI platform by IndicaLabs and single glomeruli were manually annotated in each image. .. In all cases, SRH efficiently detected glomeruli as well as histologically stained samples. b 16 representative images of glomeruli were cropped from various patient samples in both control and diabetic groups. c The network architecture of DenseNet201 is briefly explained using the MATLAB R2024a release implementation. d The DenseNet201 network was trained using 5 Epochs, with 25 iterations per Epoch using a single Nvidia RTX 4080 and took less than 15 min. e The cross validation matrix shows an accuracy of 0.9762, sensitivity of 1, specificity of 0.9583, and precision of 0.9474, resulting in an F1 score of 97.22%. ..



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    The results of existing studies using Stanford Dog Dataset.

    Journal: Bioengineering

    Article Title: Classification of Dog Breeds Using Convolutional Neural Network Models and Support Vector Machine

    doi: 10.3390/bioengineering11111157

    Figure Lengend Snippet: The results of existing studies using Stanford Dog Dataset.

    Article Snippet: [ ] , 2018 , Fine-tuned CNN , Inception-Resnet V2 , Initial learning rate: 0.1, optimizer: Nesterov, batch size: 64 , no , SoftMax , 90.69%.

    Techniques: Selection