Your browser doesn't support javascript.
loading
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model.
Studier-Fischer, Alexander; Seidlitz, Silvia; Sellner, Jan; Özdemir, Berkin; Wiesenfarth, Manuel; Ayala, Leonardo; Odenthal, Jan; Knödler, Samuel; Kowalewski, Karl Friedrich; Haney, Caelan Max; Camplisson, Isabella; Dietrich, Maximilian; Schmidt, Karsten; Salg, Gabriel Alexander; Kenngott, Hannes Götz; Adler, Tim Julian; Schreck, Nicholas; Kopp-Schneider, Annette; Maier-Hein, Klaus; Maier-Hein, Lena; Müller-Stich, Beat Peter; Nickel, Felix.
Afiliación
  • Studier-Fischer A; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Seidlitz S; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Sellner J; HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe, Heidelberg, Germany.
  • Özdemir B; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Wiesenfarth M; HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe, Heidelberg, Germany.
  • Ayala L; Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Odenthal J; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Knödler S; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kowalewski KF; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Haney CM; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Camplisson I; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Dietrich M; Department of Urology, Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.
  • Schmidt K; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Salg GA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA.
  • Kenngott HG; Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Adler TJ; Department of Anesthesiology and Intensive Care Medicine, Essen University Hospital, Essen, Germany.
  • Schreck N; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Kopp-Schneider A; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Maier-Hein K; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Maier-Hein L; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
  • Müller-Stich BP; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Nickel F; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Sci Rep ; 12(1): 11028, 2022 06 30.
Article en En | MEDLINE | ID: mdl-35773276
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aprendizaje Automático / Imágenes Hiperespectrales Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aprendizaje Automático / Imágenes Hiperespectrales Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Alemania