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Deep Learning for Automatic Pneumonia Detection

arXiv 2005.13899 ↗First posted 28 May 2020eess.IV cs.CV cs.LGcited by 20

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Abstract (arXiv)

Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide. The pneumonia detection is usually performed through examine of chest X-ray radiograph by highly-trained specialists. This process is tedious and often leads to a disagreement between radiologists. Computer-aided diagnosis systems showed the potential for improving diagnostic accuracy. In this work, we develop the computational approach for pneumonia regions detection based on single-shot detectors, squeeze-and-excitation deep convolution neural networks, augmentations and multi-task learning. The proposed approach was evaluated in the context of the Radiological Society of North America Pneumonia Detection Challenge, achieving one of the best results in the challenge.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 May 2020.

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Citing papers per year: 2021: 6; 2022: 3; 2023: 4; 2024: 2; 2025: 5.

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  1. 2021AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-raycited by 19
  2. 2021Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Trainingcited by 17
  3. 2025UMIT: Unifying Medical Imaging Tasks via Vision-Language Modelscited by 11
  4. 20213D Convolutional Neural Networks for Stalled Brain Capillary Detectioncited by 8
  5. 2021OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rayscited by 5
  6. 2024Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approachcited by 5
  7. 2022Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rayscited by 2
  8. 2023Integrating Bidirectional Long Short-Term Memory with Subword Embedding for Authorship Attributioncited by 1
  9. 2025Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusioncited by 1
  10. 2021Generative Residual Attention Network for Disease Detectioncited by 0
  11. 2021Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysiscited by 0
  12. 2022Decoupling Deep Learning for Interpretable Image Recognitioncited by 0
8 more
  1. 2022Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Timecited by 0
  2. 2023Prediction of Pneumonia and COVID-19 Using Deep Neural Networkscited by 0
  3. 2023Lung Diseases Image Segmentation using Faster R-CNNscited by 0
  4. 2023FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanationscited by 0
  5. 2024A Deep Look Into -- Automated Lung X-Ray Abnormality Detection Systemcited by 0
  6. 2025Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classificationcited by 0
  7. 2025SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detectioncited by 0
  8. 2025SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detectioncited by 0