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2d resnet-50  (IEEE Access)

 
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    IEEE Access 2d resnet-50
    Key characteristics of the selected articles.
    2d Resnet 50, supplied by IEEE Access, 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/2d+resnet-50/pmc11394591-15-7-26?v=IEEE+Access
    Average 90 stars, based on 1 article reviews
    2d resnet-50 - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review"

    Article Title: Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review

    Journal: Cancers

    doi: 10.3390/cancers16172988

    Key characteristics of the selected articles.
    Figure Legend Snippet: Key characteristics of the selected articles.

    Techniques Used: Imaging, Expressing, Biomarker Discovery



    Similar Products

    2d resnet-50  (IEEE Access)
    90
    IEEE Access 2d resnet-50
    Key characteristics of the selected articles.
    2d Resnet 50, supplied by IEEE Access, 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/2d+resnet-50/pmc11394591-15-7-26?v=IEEE+Access
    Average 90 stars, based on 1 article reviews
    2d resnet-50 - by Bioz Stars, 2026-08
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Key characteristics of the selected articles.

    Journal: Cancers

    Article Title: Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review

    doi: 10.3390/cancers16172988

    Figure Lengend Snippet: Key characteristics of the selected articles.

    Article Snippet: Masoudi S. et al. [ ] , 2D ResNet-50, ResNeXt-50, 3D ResNet-18, 3D ResNet-50 , 2021 , Differentiate benign versus malignant spinal lesions on CT. , IEEE Access , Classification (Benign vs. malignant) , 114 , Accuracy: 79.4–92.2%; F1-Score: 0.755–0.923.

    Techniques: Imaging, Expressing, Biomarker Discovery