神经组阅片室
介入放射学
人工智能
结核(地质)
深度学习
医学
计算机科学
放射科
神经学
生物
精神科
古生物学
作者
Chuan Gao,Linyu Wu,Wei Wu,Yichao Huang,Xinyue Wang,Zhichao Sun,Maosheng Xu,Chen Gao
出处
期刊:European Radiology
[Springer Science+Business Media]
日期:2024-07-10
卷期号:35 (1): 255-266
被引量:5
标识
DOI:10.1007/s00330-024-10907-0
摘要
The accurate detection and precise segmentation of lung nodules on computed tomography are key prerequisites for early diagnosis and appropriate treatment of lung cancer. This study was designed to compare detection and segmentation methods for pulmonary nodules using deep-learning techniques to fill methodological gaps and biases in the existing literature.
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