Skip to content

Latest commit

 

History

History
10 lines (8 loc) · 851 Bytes

File metadata and controls

10 lines (8 loc) · 851 Bytes

MultiFusionNet

Official repo of the work "MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for ChestX-Ray Image Classification." The original paper available at URL: https://doi.org/10.1007/s00500-024-09901-x

CoV-Pneum Dataset

The cov-Pneum dataset was prepared by merging three well-known publicly available sub-datasets from Chowdhury et al. 2020; Kaggle 2021 a, and b. This dataset has 21,272 chest X-ray images of COVID-19, Pneumonia, and Normal cases.

  1. ChowdhuryME, Rahman T, Khandakar A,Mazhar R, KadirMA, Mahbub ZB et al (2020) Can ai help in screening viral and covid-19 pneumonia? IEEE Access 8:132665–132676.
  2. Kaggle (2021a) Chest x-ray images (pneumonia). https://v.ht/WwR25
  3. Kaggle (2021b) Covid-net open source initiative—covidx cxr-3 dataset. https://www.kaggle.com/andyczhao/COVIDx-cxr2?select=test