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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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2021-12, Vol.244, p.118585-118585, Article 118585
Hauptverfasser:	Lu, Shao-Lun, Liao, Heng-Chun, Hsu, Feng-Ming, Liao, Chun-Chih, Lai, Feipei, Xiao, Furen
Format:	Artikel
Sprache:	eng
Schlagworte:	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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Beschreibung
Zusammenfassung:	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