Meta Ordinal Weighting Net For Improving Lung Nodule Classification
Author:
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9413349/9413350/09413622.pdf?arnumber=9413622
Cited by 6 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. A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based models;Frontiers in Oncology;2023-08-21
2. Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning;IEEE Transactions on Medical Imaging;2023-05
3. Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT;Medical Image Analysis;2023-01
4. Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction;IEEE Transactions on Medical Imaging;2022-07
5. Identifying Malignancy of Lung Cancer Using Deep Learning Concepts;Artificial Intelligence in Healthcare;2021-10-30
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