Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning-Reference-Cited by-同舟云学术

Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning

Published:2022-03-01 Issue:2 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Dutt Raman¹^ORCID,Mendonca Dylan¹^ORCID,Phen Huai Ming¹,Broida Samuel¹,Ghassemi Marzyeh¹,Gichoya Judy¹^ORCID,Banerjee Imon¹^ORCID,Yoon Tim¹^ORCID,Trivedi Hari¹^ORCID

Affiliation:

1. From the Department of Computer Science, Shiv Nadar University, Greater Noida, Uttar Pradesh, India (R.D.); Department of Chemical Engineering and Applied Chemistry (D.M.) and Department of Computer Science (M.G.), University of Toronto, Toronto, Canada; and Departments of Radiology (H.M.P., S.B., J.G., T.Y., H.T.) and Biomedical Informatics (I.B.), Emory University, Atlanta, Ga.

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.210099

Reference25 articles.

1. The duration of symptoms and clinical outcomes in patients undergoing anterior cervical discectomy and fusion for degenerative disc disease and radiculopathy

2. Outcome of Patients Treated for Cervical Myelopathy

3. Surgical outcomes of cervical spondylotic myelopathy: an analysis of a national, administrative, longitudinal database

4. Clinical and radiographic outcome of unilateral open-door laminoplasty with alternative levels centerpiece mini-plate fixation for cervical compressive myelopathy: a five-year follow-up study

5. Perioperative Outcomes in 17,947 Patients Undergoing 2-Level Anterior Cervical Discectomy and Fusion Versus 1-Level Anterior Cervical Corpectomy for Treatment of Cervical Degenerative Conditions: A Propensity Score Matched National Surgical Quality Improvement Program Analysis

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