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      Tissue classification of oncologic esophageal resectates based on hyperspectral data.

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          Abstract

          Esophageal carcinoma is the eighth most common cancer worldwide. Esophageal resection with gastric pull-up is a potentially curative therapeutic option. After this procedure, the specimen is examined by the pathologist to confirm complete removal of the cancer. An intraoperative analysis of the resectate would be less time-consuming and therefore improve patient safety.

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          Author and article information

          Journal
          Int J Comput Assist Radiol Surg
          International journal of computer assisted radiology and surgery
          Springer Science and Business Media LLC
          1861-6429
          1861-6410
          Oct 2019
          : 14
          : 10
          Affiliations
          [1 ] Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany. Marianne.maktabi@medizin.uni-leipzig.de.
          [2 ] Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
          [3 ] Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany.
          Article
          10.1007/s11548-019-02016-x
          10.1007/s11548-019-02016-x
          31222672
          b5ecbd42-007e-446a-8e4e-10151e56eee5
          History

          Visceral surgery,Machine learning,Hyperspectral imaging (HSI),Cancer detection

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