Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction
Author:
Affiliation:
1. Concordia University,Concordia Inst. for Info. Syst. Eng.,Montreal,Canada
2. Sunnybrook Health Sciences Centre,Dep. of Medical Imaging,Toronto,Canada
3. University of Toronto,Dep. of Elec. and Comp. Eng.,Toronto,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10167864/10167764/10167958.pdf?arnumber=10167958
Reference26 articles.
1. Attention is all you need;vaswani;Advances in neural information processing systems,2017
2. Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans
3. Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks;hajiakhondi-meybodi,2022
4. TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks;hajiakhondi-meybodi;IEEE International Conference on Communications (ICC),2022
5. Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features
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