https://scholars.lib.ntu.edu.tw/handle/123456789/594655
Title: | The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery | Authors: | SHAO-LUN LU Liao, Heng-Chun FENG-MING HSU Liao, Chun-Chih FEI-PEI LAI FU-REN XIAO |
Keywords: | Benchmark; Brain; Image segmentation; MRI; Oncology/tumor | Issue Date: | 2021 | Publisher: | Academic Press Inc. | Journal Volume: | 244 | Source: | NeuroImage | Abstract: | 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. © 2021 The Author(s) |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115425707&doi=10.1016%2fj.neuroimage.2021.118585&partnerID=40&md5=7e429d09e9174a41dd8813465c9e3f8b https://scholars.lib.ntu.edu.tw/handle/123456789/594655 |
ISSN: | 1053-8119 | DOI: | 10.1016/j.neuroimage.2021.118585 | SDG/Keyword: | adolescent; adult; aged; Article; benchmarking; cancer patient; child; contrast enhancement; controlled study; female; human; image segmentation; intracranial tumor; major clinical study; male; neuroimaging; neurosurgeon; nuclear magnetic resonance imaging; online system; qualitative analysis; radiation oncologist; radiosurgery; brain; brain tumor; diagnostic imaging; image enhancement; information processing; neuroimaging; nuclear magnetic resonance imaging; procedures; Benchmarking; Brain; Brain Neoplasms; Datasets as Topic; Humans; Image Enhancement; Magnetic Resonance Imaging; Neuroimaging; Online Systems; Radiosurgery |
Appears in Collections: | 腫瘤醫學研究所 |
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