The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery

We report the set-up of the Intracranial Tumor Segmentation (ICTS) dataset. This dataset was retrieved from clinical work of radiosurgery, contoured by qualified neurosurgeons and radiation oncologists. It contains contrast-enhanced T1-weighted images of 1500 patients, together with the labels of tu...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2021-12, Vol.244, p.118585-118585, Article 118585
Main Authors: Lu, Shao-Lun, Liao, Heng-Chun, Hsu, Feng-Ming, Liao, Chun-Chih, Lai, Feipei, Xiao, Furen
Format: Article
Language:English
Subjects:
Annotations
Benchmark
Benchmarking
Brain
Brain - diagnostic imaging
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - radiotherapy
Brain research
Brain tumors
Datasets
Datasets as Topic
Deep learning
Humans
Image Enhancement
Image processing
Image segmentation
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Metastasis
MRI
Neuroimaging
Oncology/tumor
Online Systems
Patients
Planning
Radiation
Radiosurgery
Registration
Segmentation
Tumors
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Summary:We report the set-up of the Intracranial Tumor Segmentation (ICTS) dataset. This dataset was retrieved from clinical work of radiosurgery, contoured by qualified neurosurgeons and radiation oncologists. It contains contrast-enhanced T1-weighted images of 1500 patients, together with the labels of tumors to be treated. The ICTS image data and manual annotations continue to be publicly available through an online evaluation system as an ongoing benchmarking resource.
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2021.118585