LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)

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摘要
Lung cancer (LC) is one of the most common and fatal cancer in human. Recent LC diagnostic studies focus on using convolutional neural networks (CNNs) and achieve certain success. However, there are at least two limitations with current studies: 1) Well-labeled lung adenocarcinoma (LA, a subtype of LC) data are rare, leading to limited samples for training CNNs; 2) The conventional CNNs ignore pos...
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关键词
Training,Transfer learning,Neural networks,Lung,Training data,Lung cancer,Receivers
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