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Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.
Fischer, Andreas M; Varga-Szemes, Akos; Martin, Simon S; Sperl, Jonathan I; Sahbaee, Pooyan; Neumann, Dominik; Gawlitza, Joshua; Henzler, Thomas; Johnson, Colin M; Nance, John W; Schoenberg, Stefan O; Schoepf, U Joseph.
Afiliación
  • Fischer AM; Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC.
  • Varga-Szemes A; Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg.
  • Martin SS; Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC.
  • Sperl JI; Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC.
  • Sahbaee P; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt.
  • Neumann D; Siemens Healthineers, Forchheim, Germany.
  • Gawlitza J; Siemens Medical Solutions.
  • Henzler T; Siemens Healthineers, Erlangen.
  • Johnson CM; Department for Cardiothoracic Imaging, Clinic for Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany.
  • Nance JW; Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Heidelberg.
  • Schoenberg SO; Conradia Germany, München.
  • Schoepf UJ; Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC.
J Thorac Imaging ; 35 Suppl 1: S28-S34, 2020 May.
Article en En | MEDLINE | ID: mdl-32235188
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfisema Pulmonar / Inteligencia Artificial / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Enfermedad Pulmonar Obstructiva Crónica / Fumadores Tipo de estudio: Observational_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Thorac Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Seychelles
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfisema Pulmonar / Inteligencia Artificial / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Enfermedad Pulmonar Obstructiva Crónica / Fumadores Tipo de estudio: Observational_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Thorac Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Seychelles