医学
头颈部
淋巴结
医学影像学
医学物理学
图像配准
放射科
功能成像
人工智能
分割
头颈部癌
计算机科学
病理
放射治疗
外科
图像(数学)
作者
Nancy Pham,Connie Ju,Tracie Kong,Suresh K. Mukherji
标识
DOI:10.1053/j.sult.2022.02.006
摘要
Artificial intelligence (AI) can be applied to head and neck imaging to augment image quality and various clinical tasks including segmentation of tumor volumes, tumor characterization, tumor prognostication and treatment response, and prediction of metastatic lymph node disease. Head and neck oncology care is well positioned for the application of AI since treatment is guided by a wealth of information derived from CT, MRI, and PET imaging data. AI-based methods can integrate complex imaging, histologic, molecular, and clinical data to model tumor biology and behavior, and potentially identify associations, far beyond what conventional qualitative imaging can provide alone.
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