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lung cancer prediction convolutional neural network (lcp-cnn)  (Optellum Ltd)

 
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    Optellum Ltd lung cancer prediction convolutional neural network (lcp-cnn)
    Lung Cancer Prediction Convolutional Neural Network (Lcp Cnn), supplied by Optellum 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/lung+cancer+prediction-convolutional+neural+network+(lcp-cnn)/lung+cancer+prediction+convolutional+neural+network/10__3233_slash_cbm___230360-139-30-40
    Average 90 stars, based on 1 article reviews
    lung cancer prediction convolutional neural network (lcp-cnn) - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Biomarker Discovery:

    Article Title: The current issues and future perspective of artificial intelligence for developing new treatment strategy in non-small cell lung cancer: harmonization of molecular cancer biology and artificial intelligence
    Article Snippet: .. Optellum Ltd., a company that specializes in image analysis of lung cancer diagnosis, developed a machine leaning algorithm called the lung cancer prediction convolutional neural network (LCP-CNN), which was initially trained using the NLST data under guidance from experienced thoracic radiologists at Oxford University Hospitals [ , ]. ..

    other:

    Article Title: Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model
    Article Snippet: The authors of this manuscript declare relationships with Optellum Ltd, who are the developers of Lung Cancer Prediction convolutional neural network (LCP-CNN).

    Article Title: Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules
    Article Snippet: The Lung Cancer Prediction Convolutional Neural Network (LCP-CNN) developed by Optellum was derived and internally validated using the NLST dataset with cross-validation.

    Article Title: Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.
    Article Snippet: EXPOSURES An externally validated deep learning algorithm that predicts malignancy in current lung nodules using LDCT images (Lung Cancer Prediction Convolutional Neural Network [LCP-CNN]; Optellum Ltd) was recalibrated to predict 1-year lung cancer detection by LDCT for presumed nonmalignant nodules.

    Article Title: Radiomics and artificial intelligence for risk stratification of pulmonary nodules: Ready for primetime?
    Article Snippet: 201 To date, the only radiomics-based AI algorithm to 202 gain both U.S. Food and Drug Administration 510(k) 203 clearance (2021) and European Union CE marking 204 (2022) is the Lung Cancer Prediction Convolutional 205 Neural Network (LCP-CNN) developed by Optellum.

    Article Title: Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals
    Article Snippet: An externally validated deep learning algorithm that predicts malignancy in current lung nodules using LDCT images (Lung Cancer Prediction Convolutional Neural Network [LCP-CNN]; Optellum Ltd) was recalibrated to predict 1-year lung cancer detection by LDCT for presumed nonmalignant nodules.

    Imaging:

    Article Title: Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.
    Article Snippet: .. Herein we demonstrate a proof of principle by evaluating 4 methods that use CT imaging features of a presumed nonmalignant lung nodule to predict lung cancer detection on CT in 1 year: (1) Lung Cancer Prediction Convolutional Neural Network (LCP-CNN; a deep learning algorithm developed by Optellum Ltd), (2) LCRAT + CT, (3) LCRAT plus LCP-CNN, and (4) Lung-RADS. ..



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