xq141839/dualattnet

Elsevier-CIBM-2024: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays

DualAttNet: Synergistic Fusion of Image-level and Fine-Grained Disease Attention for Multi-Label Lesion Detection in Chest X-rays

News

2023.06.27: The preprint has been available at arXiv.

Requirements

PyTorch=1.10.0

Citation

@misc{xu2023dualattnet,
      title={DualAttNet: Synergistic Fusion of Image-level and Fine-Grained Disease Attention for Multi-Label Lesion Detection in Chest X-rays}, 
      author={Qing Xu and Wenting Duan},
      year={2023},
      eprint={2306.13813},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}

dualattnet's Issues

Code Help

Hello! I am very interested in this job. Could you please provide the complete code for DualAttNet? It would be very helpful to me. Thank you!

Total disease number of VinDr-CXR

Hi, thanks for your great work! I am writing to figure out the total number of diseases your model can detect in the VinDr-CXR dataset? Is it only 14 classes? Could it detect all 22 local diseases? I ask this because I found the official paper of VinDr-CXR said their dataset has annotations for 22 local abnormalities instead of only 14 classes used in the Kaggle competition.
Thanks a lot!
best
Kingofolk