Wang et al., 2022 - Google Patents
Detection and classification of mandibular fracture on CT scan using deep convolutional neural networkWang et al., 2022
View PDF- Document ID
- 7916340050784554383
- Author
- Wang X
- Xu Z
- Tong Y
- Xia L
- Jie B
- Ding P
- Bai H
- Zhang Y
- He Y
- Publication year
- Publication venue
- Clinical Oral Investigations
External Links
Snippet
Objectives This study aimed to evaluate the accuracy and reliability of convolutional neural networks (CNNs) for the detection and classification of mandibular fracture on spiral computed tomography (CT). Materials and methods Between January 2013 and July 2020 …
- 238000002591 computed tomography 0 title abstract description 46
Classifications
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- G06F19/321—Management 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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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
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- G06Q50/22—Health care, e.g. hospitals; Social work
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