mlsanityData to 7 Oct 2026

Thoracic Disease Identification and Localization with Limited Supervision

arXiv 1711.06373 ↗First posted 17 Nov 2017cs.CV stat.MLcited by 55

Not on the map. Why?

Abstract (arXiv)

Accurate identification and localization of abnormalities from radiology images play an integral part in clinical diagnosis and treatment planning. Building a highly accurate prediction model for these tasks usually requires a large number of images manually annotated with labels and finding sites of abnormalities. In reality, however, such annotated data are expensive to acquire, especially the ones with location annotations. We need methods that can work well with only a small amount of location annotations. To address this challenge, we present a unified approach that simultaneously performs disease identification and localization through the same underlying model for all images. We demonstrate that our approach can effectively leverage both class information as well as limited location annotation, and significantly outperforms the comparative reference baseline in both classification and localization tasks.

Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Nov 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 25; 2022: 14; 2023: 5; 2024: 5; 2025: 2; 2026: 4.

55 papers.

Sort:

By area:

  1. 2021Explainable artificial intelligence (XAI) in deep learning-based medical image analysiscited by 147
  2. 2022Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detectioncited by 79
  3. 2021XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanationscited by 72
  4. 2022Delving into Masked Autoencoders for Multi-Label Thorax Disease Classificationcited by 65
  5. 2021Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmarkcited by 58
  6. 2021REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rayscited by 34
  7. 2021A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentationcited by 33
  8. 2021Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosiscited by 24
  9. 2021Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detectioncited by 22
  10. 2021Improving Pneumonia Localization via Cross-Attention on Medical Images and Reportscited by 21
  11. 2022Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rayscited by 21
  12. 2021Label-Assemble: Leveraging Multiple Datasets with Partial Labelscited by 20
38 more
  1. 2022Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimationcited by 20
  2. 2021Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attackcited by 15
  3. 2021Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classificationcited by 14
  4. 2024SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detectioncited by 14
  5. 2022Probabilistic Integration of Object Level Annotations in Chest X-ray Classificationcited by 10
  6. 2023I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnosescited by 10
  7. 2021Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Featurescited by 9
  8. 2021Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Modelscited by 9
  9. 2021SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadatacited by 9
  10. 2021Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Predictioncited by 7
  11. 2022Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rayscited by 7
  12. 2023A Prototype-Based Neural Network for Image Anomaly Detection and Localizationcited by 7
  13. 2024A multi-modal vision-language model for generalizable annotation-free pathology localizationcited by 7
  14. 2021Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loopcited by 6
  15. 2021Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessmentcited by 6
  16. 2021Weakly Supervised Thoracic Disease Localization via Disease Maskscited by 5
  17. 2021OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rayscited by 5
  18. 2021Hybrid Supervision Learning for Pathology Whole Slide Image Classificationcited by 5
  19. 2022ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classificationcited by 5
  20. 2023SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classificationcited by 5
  21. 2021Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoningcited by 4
  22. 2022RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imagingcited by 4
  23. 2022Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalancescited by 4
  24. 2023Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learningcited by 4
  25. 2024Learning Low-Rank Feature for Thorax Disease Classificationcited by 4
  26. 2021GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Imagescited by 3
  27. 2022Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistancecited by 3
  28. 2022Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotationcited by 3
  29. 2024Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecturecited by 3
  30. 2021Curvature-based Feature Selection with Application in Classifying Electronic Health Recordscited by 2
  31. 2021Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identificationcited by 2
  32. 2022Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detectioncited by 2
  33. 2022Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Recordscited by 2
  34. 2022Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Networkcited by 1
  35. 2023CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray imagescited by 1
  36. 2024Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactualscited by 1
  37. 2025CLARiTy: A Vision Transformer for Multi-Label Classification and Weakly-Supervised Localization of Chest X-ray Pathologiescited by 1
  38. 2026URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detectioncited by 1

50 most cited of 55 All 55 (JSON)