ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series

ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series

To investigate the value of the deep learning method in predicting the invasiveness of early lung adenocarcinoma based on irregularly sampled follow-up computed tomography (CT) scans. In total, 351 nodules were enrolled in the study. A new deep learning network based on temporal attention, named Vis...

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Bibliographic Details
Main Authors: Wei Zhao, Yingli Sun, Kaiming Kuang, Jiancheng Yang, Ge Li, Bingbing Ni, Yingjia Jiang, Bo Jiang, Jun Liu, Ming Li
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Cancers
Subjects:
adenocarcinoma
invasiveness
X-ray computed tomography
deep learning
temporal attention
Online Access:https://www.mdpi.com/2072-6694/14/15/3675

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https://www.mdpi.com/2072-6694/14/15/3675

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