A review of recent advances in deep learning models for chest disease detection using radiography

HIGHLIGHTS

• who: Adnane Ait Nasser and Moulay A. Akhloufi from the Universitu00e9 de Moncton, Moncton, NB E C , Canada have published the Article: A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography, in the Journal: Diagnostics 2023, 13, 159. of /2023/
• what: The model showed high performance in classification. Using CXR dataset of radiographs without clavicle and rib shadows, the model showed higher performance. The authors focused on DL algorithms applied for detecting different chest diseases using CXR images. In Table 10 the authors present an overview of obtained results . . .
  

   

  

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