ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
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- Type
- article
- Published
- 2017-05-05
- Cited by
- 3,629
- References
- 58
- Access
- Open access
- OpenAlex
- https://openalex.org/W2611650229
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:263796294
Keywords
Convolutional neural network, Radiological weapon, Thorax (insect anatomy), Thoracic diseases, Medical imaging
References
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- Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
- A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries
- Preparing a collection of radiology examinations for distribution and retrieval
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Challenges in Clinical Natural Language Processing for Automated Disorder Normalization
- ImageNet classification with deep convolutional neural networks
Cited by
- ChatGPT and assistive AI in structured radiology reporting: A systematic review.
- Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
- Opportunities and obstacles for deep learning in biology and medicine
- Learning to diagnose from scratch by exploiting dependencies among labels
- DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
- Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
- Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
- Learning to detect chest radiographs containing pulmonary lesions using visual attention networks
- MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
- Deep Learning Applications in Medical Image Analysis
- NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
- Deep metric learning for multi-labelled radiographs
- Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
- Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
- Artificial Intelligence in Surgery: Promises and Perils
- Deep Learning Lends a Hand to Pediatric Radiology.
- Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
- Abnormality Detection in Mammography using Deep Convolutional Neural Networks
- Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
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