Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation-Reference-Cited by-同舟云学术

Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation

Published:2019 Issue: Volume: Page:119-127
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Pfeiffer Micha,Funke Isabel,Robu Maria R.,Bodenstedt Sebastian,Strenger Leon,Engelhardt Sandy,Roß Tobias,Clarkson Matthew J.,Gurusamy Kurinchi,Davidson Brian R.,Maier-Hein Lena,Riediger Carina,Welsch Thilo,Weitz Jürgen,Speidel Stefanie

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32254-0_14

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4. Gibson, E., et al.: Deep residual networks for automatic segmentation of laparoscopic videos of the liver (2017)

5. Lecture Notes in Computer Science;S-W Huang,2018

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