An attention-enhanced cross-task network to analyse lung nodule attributes in CT images

Author:

Fu Xiaohang,Bi Lei,Kumar Ashnil,Fulham Michael,Kim Jinman

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GoogLeNet-AL: A fully automated adaptive model for lung cancer detection;Pattern Recognition;2024-11

2. Attribute and Malignancy Analysis of Lung Nodule on Chest CT with Cause-and-Effect Logic;Journal of Medical and Biological Engineering;2024-09-13

3. Lung Cancer Classification Using Deep Learning Hybrid Model;Advances in Medical Technologies and Clinical Practice;2024-05-31

4. Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey;Archives of Computational Methods in Engineering;2024-05-22

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