CTransCNN: Combining Transformer and CNN in Multilabel Medical Image Classification  

DOI:10.1016/j.knosys.2023.111030

Xin W, Yue F, et al. (IF 8.8, Top, Achieved paper acceptance in just over two months)   Code

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Abstract

Multilabel image classification aims to assign images to multiple possible labels. In this task, each image may be associated with multiple labels, making it more challenging than the single-label classification problems. To address these issues, we propose a novel hybrid deep learning model called CTransCNN…

Keywords

Multilabel image classification Hybrid network Convolutional neural networks Transformer Label correlation

 @article{wu2023ctranscnn,
  title={CTransCNN: Combining transformer and CNN in multilabel medical image classification},
  author={Wu, Xin and Feng, Yue and Xu, Hong and Lin, Zhuosheng and Chen, Tao and Li, Shengke and Qiu, Shihan and Liu, Qichao and Ma, Yuangang and Zhang, Shuangsheng},
  journal={Knowledge-Based Systems},
  volume={281},
  pages={111030},
  year={2023},
  publisher={Elsevier}
  doi ={10.1016/j.knosys.2023.111030}
}