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Robust deep learning-based semantic organ segmentation in hyperspectral images.
Seidlitz, Silvia; Sellner, Jan; Odenthal, Jan; Özdemir, Berkin; Studier-Fischer, Alexander; Knödler, Samuel; Ayala, Leonardo; Adler, Tim J; Kenngott, Hannes G; Tizabi, Minu; Wagner, Martin; Nickel, Felix; Müller-Stich, Beat P; Maier-Hein, Lena.
Afiliación
  • Seidlitz S; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany. Electronic address: s.seidlitz@dkfz-heidelberg.de.
  • Sellner J; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany. Electronic address: j.sellner@dkfz-heidelberg.de.
  • Odenthal J; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Özdemir B; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Studier-Fischer A; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Knödler S; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Ayala L; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Adler TJ; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
  • Kenngott HG; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
  • Tizabi M; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Wagner M; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Nickel F; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Müller-Stich BP; Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
  • Maier-Hein L; Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany; Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany; HIP Helmholtz Imaging Platform, German Cancer Rese
Med Image Anal ; 80: 102488, 2022 08.
Article en En | MEDLINE | ID: mdl-35667327
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Aprendizaje Profundo Límite: Animals Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Aprendizaje Profundo Límite: Animals Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article