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Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations
Author(s) -
Cardenas Carlos E.,
Mohamed Abdallah S. R.,
Yang Jinzhong,
Gooding Mark,
Veeraraghavan Harini,
Kalpathy-Cramer Jayashree,
Ping Ng Sweet,
Ding Yao,
Wang Jihong,
Lai Stephen Y.,
Fuller Clifton D.,
Sharp Greg
Publication year - 2020
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.14803
Subject(s) - magnetic resonance imaging , medicine , dicom , segmentation , radiation treatment planning , head and neck cancer , radiology , head and neck , nuclear medicine , lymph node , radiation therapy , medical imaging , computer science , artificial intelligence , pathology , surgery
Published in Medical Physics, Vol. 47, No. 5
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