mlsanityData to 14 Oct 2026

Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays

arXiv 2002.02582 ↗First posted 7 Feb 2020eess.IV cs.CV cs.LGcited by 16

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Abstract (arXiv)

Most deep learning models in chest X-ray prediction utilize the posteroanterior (PA) view due to the lack of other views available. PadChest is a large-scale chest X-ray dataset that has almost 200 labels and multiple views available. In this work, we use PadChest to explore multiple approaches to merging the PA and lateral views for predicting the radiological labels associated with the X-ray image. We find that different methods of merging the model utilize the lateral view differently. We also find that including the lateral view increases performance for 32 labels in the dataset, while being neutral for the others. The increase in overall performance is comparable to the one obtained by using only the PA view with twice the amount of patients in the training set.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Feb 2020.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 4; 2025: 2; 2026: 1.

16 papers.

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  1. 2024Exploring scalable medical image encoders beyond text supervisioncited by 132
  2. 2021Deep Learning for Chest X-ray Analysis: A Surveycited by 84
  3. 2021Multi-view analysis of unregistered medical images using cross-view transformerscited by 36
  4. 2022Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Imagescited by 9
  5. 2021TATL: Task Agnostic Transfer Learning for Skin Attributes Detectioncited by 8
  6. 2023Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learningcited by 7
  7. 2025XGeM: A Multi-Prompt Foundation Model for Multimodal Medical Data Generationcited by 5
  8. 2021Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Imagescited by 3
  9. 2022Deep learning for understanding multilabel imbalanced Chest X-ray datasetscited by 3
  10. 2022Knowledge Distillation approach towards Melanoma Detectioncited by 3
  11. 2025Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generationcited by 3
  12. 2026A data- and compute-efficient chest X-ray foundation model beyond aggressive scalingcited by 2
4 more
  1. 2023StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray imagescited by 1
  2. 2024Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataractcited by 1
  3. 2024Designing a Robust Radiology Report Generation Systemcited by 1
  4. 2024Random Token Fusion for Multi-View Medical Diagnosiscited by 0