概化理论
医学
肺癌
荟萃分析
分割
计算机断层摄影术
检查表
放射科
人工智能
高分辨率计算机断层扫描
医学物理学
计算机科学
内科学
统计
数学
认知心理学
心理学
作者
Tingwei Wang,Jia‐Sheng Hong,Jingwen Huang,Chien-Yi Liao,Chia‐Feng Lu,Yu‐Te Wu
标识
DOI:10.1016/j.radonc.2024.110344
摘要
Accurate segmentation of lung tumors on chest computed tomography (CT) scans is crucial for effective diagnosis and treatment planning. Deep Learning (DL) has emerged as a promising tool in medical imaging, particularly for lung cancer segmentation. However, its efficacy across different clinical settings and tumor stages remains variable.
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