mlsanityData to 7 Oct 2026

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

arXiv 2104.10326 ↗First posted 21 Apr 2021eess.IV cs.CVcited by 33

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Abstract (arXiv)

Instance level detection and segmentation of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Leveraging on constant structure and disease relations extracted from domain knowledge, we propose a structure-aware relation network (SAR-Net) extending Mask R-CNN. The SAR-Net consists of three relation modules: 1. the anatomical structure relation module encoding spatial relations between diseases and anatomical parts. 2. the contextual relation module aggregating clues based on query-key pair of disease RoI and lung fields. 3. the disease relation module propagating co-occurrence and causal relations into disease proposals. Towards making a practical system, we also provide ChestX-Det, a chest X-Ray dataset with instance-level annotations (boxes and masks). ChestX-Det is a subset of the public dataset NIH ChestX-ray14. It contains ~3500 images of 13 common disease categories labeled by three board-certified radiologists. We evaluate our SAR-Net on it and another dataset DR-Private. Experimental results show that it can enhance the strong baseline of Mask R-CNN with significant improvements. The ChestX-Det is released at https://github.com/Deepwise-AILab/ChestX-Det-Dataset.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 30 of its 39 references that are in the map. First posted on arXiv 21 Apr 2021.

Builds on

30 of 39 references.

References · 30

  1. 2017Attention Is All You Needcited by 59,932
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  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  4. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  5. 2017Mask R-CNNcited by 7,259
  6. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
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18 more
  1. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,573
  2. 2017Deformable Convolutional Networkscited by 1,481
  3. 2019CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparisoncited by 1,410
  4. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  5. 2017ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseasescited by 969
  6. 2018CornerNet: Detecting Objects as Paired Keypointscited by 763
  7. 2017CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learningcited by 459
  8. 2018Dynamic Few-Shot Visual Learning without Forgettingcited by 385
  9. 2017Relation Networks for Object Detectioncited by 305
  10. 2020VinDr-CXR: An open dataset of chest X-rays with radiologist's annotationscited by 236
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  12. 2018Zero-shot Recognition via Semantic Embeddings and Knowledge Graphscited by 155
  13. 2019Feature Selective Anchor-Free Module for Single-Shot Object Detectioncited by 139
  14. 2017Thoracic Disease Identification and Localization with Limited Supervisioncited by 55
  15. 2018Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classificationcited by 36
  16. 2018Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rayscited by 21
  17. 2020Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomiescited by 9
  18. 2017Learning what to look in chest X-rays with a recurrent visual attention modelcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 6; 2024: 11; 2025: 9; 2026: 5.

33 papers.

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  1. 2025MedRAX: Medical Reasoning Agent for Chest X-raycited by 68
  2. 2022A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspectivecited by 56
  3. 2023AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentationcited by 37
  4. 2023BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeyscited by 29
  5. 2024MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationcited by 17
  6. 2023Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learningcited by 16
  7. 2023Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretationcited by 14
  8. 2024Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervisioncited by 12
  9. 2024A foundation model for generalizable disease diagnosis in chest X-ray imagescited by 12
  10. 2023Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervisioncited by 11
  11. 2024Self-supervised visual learning in the low-data regime: a comparative evaluationcited by 11
  12. 2024S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentationcited by 11
21 more
  1. 2024DeViDe: Faceted medical knowledge for improved medical vision-language pre-trainingcited by 10
  2. 2025CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretationcited by 7
  3. 2024DWARF: Disease-weighted network for attention map refinementcited by 5
  4. 2024The FIX Benchmark: Extracting Features Interpretable to eXpertscited by 5
  5. 2026A unified multi-task framework enables interpretable chest radiograph analysiscited by 5
  6. 2021GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Imagescited by 3
  7. 2025Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysiscited by 3
  8. 2025Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identificationcited by 2
  9. 2025Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Maskscited by 2
  10. 2023Risk Controlled Image Retrievalcited by 1
  11. 2024Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classificationcited by 1
  12. 2024Exploring Compositional Generalization of Multimodal LLMs for Medical Imagingcited by 1
  13. 2025ACE: Anatomically Consistent Embeddings in Composition and Decompositioncited by 1
  14. 2025Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rayscited by 1
  15. 2026Uncertainty-Aware Compositional Localization and Placement Assessment of Catheters and Tubes in Chest X-Rayscited by 1
  16. 2024Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learningcited by 0
  17. 2025Automatic Fine-grained Segmentation-assisted Report Generationcited by 0
  18. 2025AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representationscited by 0
  19. 2026MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligencecited by 0
  20. 2026Example-based Robust Abnormality Detection with Minimal Annotations using Exemplar Med-DETRcited by 0
  21. 2026Anatomy-Decomposed Chest Computed Tomography (CT) Projections as Scalable Supervision for Bone Suppression in Chest Radiographscited by 0