[PDF][PDF] 结合深度卷积神经网络与影像学特征的肺结节良恶性鉴别方法
高大川， 聂生东 - Acta Optica Sinica, 2020 - researching.cn
摘要提出一种将卷积神经网络(CNN) 学习特征与传统影像学特征结合的肺结节良恶性鉴别方法.
首先, 从电子计算机断层扫描(CT) 图像中分割出肺结节区域, 并使用传统机器学习方法提取结节 …
首先, 从电子计算机断层扫描(CT) 图像中分割出肺结节区域, 并使用传统机器学习方法提取结节 …
Multiview framework using a 3D residual network for pulmonary micronodule malignancy risk classification
Y Yang, Q Zhang - Bio-Medical Materials and Engineering, 2020 - content.iospress.com
BACKGROUND: Pulmonary micronodules account for 80% of all lung nodules. Generally,
pulmonary micronodules in the early stages can be detected on thoracic computed …
pulmonary micronodules in the early stages can be detected on thoracic computed …