A national study on the inter-observer variability in the delineation of organs at risk in the brain.
Ebbe Laugaard LorenzenJesper Folsted KallehaugeCamilla Skinnerup ByskovRikke Hedegaard DahlrotCharlotte Aaquist HaslundTrine Lignell GuldbergYasmin Lassen-RamshadSlávka LukacovaAida MuhicPetra Witt NyströmLene Haldbo-ClassenIhsan BahijLone LarsenBritta WeberChristian Rønn HansenPublished in: Acta oncologica (Stockholm, Sweden) (2021)
Except for the caudal definition of the spinal cord, the variances observed in the contours of OARs in the brain were generally low and consistent. Surface mapping revealed sub-regions of higher variance for some organs. The data set is being prepared as a validation data set for auto-segmentation algorithms for use within the Danish Comprehensive Cancer Centre - Radiotherapy and potential collaborators.
Keyphrases
- spinal cord
- resting state
- electronic health record
- deep learning
- white matter
- big data
- machine learning
- functional connectivity
- papillary thyroid
- early stage
- spinal cord injury
- high resolution
- cerebral ischemia
- convolutional neural network
- single cell
- squamous cell
- artificial intelligence
- high density
- multiple sclerosis
- blood brain barrier
- mass spectrometry
- rectal cancer