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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
  • Arnaud Arindra Adiyoso Setio, Alberto Traverso, +28 authors Colin Jacobs
  • Mathematics, Medicine, Computer Science
  • Medical Image Anal.
  • 2017 (First Publication: 23 December 2016)
  • HighlightsA novel objective evaluation framework for nodule detection algorithms using the largest publicly available LIDC‐IDRI data set.The impact of combining individual systems on the detectionExpand
  • Bram van Ginneken, Mikkel B. Stegmann, Marco Loog
  • Mathematics, Computer Science, Medicine
  • Medical Image Anal.
  • 2006 (First Publication: 1 February 2006)
  • The task of segmenting the lung fields, the heart, and the clavicles in standard posterior-anterior chest radiographs is considered. Three supervised segmentation methods are compared: active shapeExpand