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A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery.
Alvarez, Pablo; Rouzé, Simon; Miga, Michael I; Payan, Yohan; Dillenseger, Jean-Louis; Chabanas, Matthieu.
Afiliación
  • Alvarez P; Univ. Rennes 1, Inserm, LTSI - UMR 1099, Rennes F-35000, France; Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, Grenoble F-38000, France. Electronic address: pablo-arturo.alvarez@univ-rennes1.fr.
  • Rouzé S; Univ. Rennes 1, Inserm, LTSI - UMR 1099, Rennes F-35000, France; CHU Rennes, Department of Cardio-Thoracic and Vascular Surgery, Rennes F-35000, France. Electronic address: simon.rouze@chu-rennes.fr.
  • Miga MI; Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville, TN, USA. Electronic address: michael.i.miga@vanderbilt.edu.
  • Payan Y; Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, Grenoble F-38000, France. Electronic address: yohan.payan@univ-grenoble-alpes.fr.
  • Dillenseger JL; Univ. Rennes 1, Inserm, LTSI - UMR 1099, Rennes F-35000, France. Electronic address: jean-louis.dillenseger@univ-rennes1.fr.
  • Chabanas M; Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, Grenoble F-38000, France; Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville, TN, USA. Electronic address: matthieu.chabanas@univ-grenoble-alpes.fr.
Med Image Anal ; 69: 101983, 2021 04.
Article en En | MEDLINE | ID: mdl-33588119

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Nódulo Pulmonar Solitario / Neoplasias Pulmonares Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Nódulo Pulmonar Solitario / Neoplasias Pulmonares Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article