Automated classification of total knee replacement prosthesis on plain film radiograph using a deep convolutional neural network

Autor: Belete, Samuel C., Batta, Vineet, Kunz, Holger

Publikováno v: In Informatics in Medicine Unlocked 2021 25

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Role of fluoroscopic guided fine needle aspiration biopsy in spinal pathologies

Autor: Chauhan Vijendra, Gupta Anuj, Gupta Puneet, Maheshwari Rajesh, Juyal Anil, Batta Vineet

Publikováno v: Indian Journal of Orthopaedics, Vol 40, Iss 2, Pp 82-85 (2006)

Background: The presence of vertebral lesion, whether symptomatic or not presents a diagnostic challenge. Open biopsy of spine is associated with considerable clinical morbidity. Hence it was decided to evaluate the efficacy of fluoroscopic guided fi

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http://www.ijoonline.com/article.asp?issn=0019-5413

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Automated Identification of Orthopedic Implants on Radiographs Using Deep Learning.

Autor: Patel R; Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England (R.P., E.H.E.T., D.F., J.H.); Department of Bioengineering, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London SW7 2AZ, England (R.P., A.A.B.); and Department of Orthopaedic Surgery, Luton and Dunstable University Hospital, Luton, England (V.B.)., Thong EHE; Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England (R.P., E.H.E.T., D.F., J.H.); Department of Bioengineering, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London SW7 2AZ, England (R.P., A.A.B.); and Department of Orthopaedic Surgery, Luton and Dunstable University Hospital, Luton, England (V.B.)., Batta V; Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England (R.P., E.H.E.T., D.F., J.H.); Department of Bioengineering, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London SW7 2AZ, England (R.P., A.A.B.); and Department of Orthopaedic Surgery, Luton and Dunstable University Hospital, Luton, England (V.B.)., Bharath AA; Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England (R.P., E.H.E.T., D.F., J.H.); Department of Bioengineering, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London SW7 2AZ, England (R.P., A.A.B.); and Department of Orthopaedic Surgery, Luton and Dunstable University Hospital, Luton, England (V.B.)., Francis D; Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England (R.P., E.H.E.T., D.F., J.H.); Department of Bioengineering, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London SW7 2AZ, England (R.P., A.A.B.); and Department of Orthopaedic Surgery, Luton and Dunstable University Hospital, Luton, England (V.B.)., Howard J; Faculty of Medicine, Imperial College Healthcare NHS Trust, London, England (R.P., E.H.E.T., D.F., J.H.); Department of Bioengineering, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London SW7 2AZ, England (R.P., A.A.B.); and Department of Orthopaedic Surgery, Luton and Dunstable University Hospital, Luton, England (V.B.).

Publikováno v: Radiology. Artificial intelligence [Radiol Artif Intell] 2021 Mar 17; Vol. 3 (4), pp. e200183. Date of Electronic Publication: 2021 Mar 17 (Print Publication: 2021).