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mobilenet v2  (Mendeley Ltd)

 
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    Structured Review

    Mendeley Ltd mobilenet v2
    Various existing models are used in bone fracture detection.
    Mobilenet V2, supplied by Mendeley 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/product/mobilenet+v2/mobilenet+v2/pmc11928462-3-19-6
    Average 90 stars, based on 1 article reviews
    mobilenet v2 - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images"

    Article Title: Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images

    Journal: Scientific Reports

    doi: 10.1038/s41598-025-93505-4

    Various existing models are used in bone fracture detection.
    Figure Legend Snippet: Various existing models are used in bone fracture detection.

    Techniques Used:

    Related Articles

    other:

    Article Title: Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images
    Article Snippet: MobileNet V2 , Bone fracture dataset, Mendeley Data V1. , The model has yielded an accuracy of 93.5% , MobileNet V2 model is a lightweight model, it finds it difficult to capture complex features and subtle details in high-resolution X-ray images.



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    Image Search Results


    Various existing models are used in bone fracture detection.

    Journal: Scientific Reports

    Article Title: Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images

    doi: 10.1038/s41598-025-93505-4

    Figure Lengend Snippet: Various existing models are used in bone fracture detection.

    Article Snippet: MobileNet V2 , Bone fracture dataset, Mendeley Data V1. , The model has yielded an accuracy of 93.5% , MobileNet V2 model is a lightweight model, it finds it difficult to capture complex features and subtle details in high-resolution X-ray images.

    Techniques:

    Architecture, optimized hyperparameters and performance of the three final classification models

    Journal: Indian Journal of Ophthalmology

    Article Title: In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence

    doi: 10.4103/IJO.IJO_1456_23

    Figure Lengend Snippet: Architecture, optimized hyperparameters and performance of the three final classification models

    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.

    Techniques: Biomarker Discovery