Lung CT Segmentation Challenge 2017 (60 subjects)

Dataset Description:
This dataset consists of CT images for thoracic patients in radiation treatment planning. The data provide a platform for comparison of various auto-segmentation algorithms when they are used to delineate organs at risk in radiotherapy.

Imaging Data:

  • CT images .
  • Manual contours of Heart, Esophagus, Lungs, and Spinal Cord…

Number of subjects / images: 60 subjects.

Link to dataset / homepage : https://wiki.cancerimagingarchive.net/display/Public/Lung+CT+Segmentation+Challenge+2017

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