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  • Meindert Niemeijer, Joes Staal, Bram van Ginneken, Marco Loog, Michael David Abràmoff
  • Computer Science, Engineering
  • SPIE Medical Imaging
  • 2004 (First Publication: 12 May 2004)
  • In this work we compare the performance of a number of vessel segmentation algorithms on a newly constructed retinal vessel image database. Retinal vessel segmentation is important for the detectionExpand
  • Meindert Niemeijer, Bram van Ginneken, Joes Staal, Maria S. A. Suttorp-Schulten, Michael David Abràmoff
  • Computer Science, Medicine, Geography
  • IEEE Transactions on Medical Imaging
  • 2005 (First Publication: 1 May 2005)
  • The robust detection of red lesions in digital color fundus photographs is a critical step in the development of automated screening systems for diabetic retinopathy. In this paper, a novel redExpand
  • Joes Staal, Bram van Ginneken, Max A. Viergever
  • Computer Science, Medicine, Mathematics
  • Medical Image Anal.
  • 2007 (First Publication: 1 February 2007)
  • A system for automatic segmentation and labeling of the complete rib cage in chest CT scans is presented. The method uses a general framework for automatic detection, recognition and segmentation ofExpand
  • Robert Y. van der Velde, T. O. Ozanian, +5 authors Piet P. Geusens
  • Medicine
  • The spine journal : official journal of the North…
  • 2015 (First Publication: 1 June 2015)
  • BACKGROUND CONTEXT Despite its clinical importance, accurate identification of vertebral fractures is problematic and time-consuming. There is a recognized need to improve the detection of vertebralExpand