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Görürgöz et al., 2022 - Google Patents

Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

Görürgöz et al., 2022

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Document ID
419751382470467916
Author
Görürgöz C
Orhan K
Bayrakdar I
Çelik Ã
Bilgir E
OdabaÅŸ A
Aslan A
Jagtap R
Publication year
Publication venue
Dentomaxillofacial Radiology

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Snippet

Objectives: The present study aimed to evaluate the performance of a Faster Region-based Convolutional Neural Network (R-CNN) algorithm for tooth detection and numbering on periapical images. Methods: The data sets of 1686 randomly selected periapical …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

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    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06T2207/30004Biomedical image processing
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    • G06T7/0014Biomedical image inspection using an image reference approach
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
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