ChestX-ray14
Introduced by Wang et al. in ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text radiological reports via NLP techniques. It expands on ChestX-ray8 by adding six additional thorax diseases: Edema, Emphysema, Fibrosis, Pleural Thickening and Hernia.
Source: https://nihcc.app.box.com/v/ChestXray-NIHCC/file/220660789610Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ChestX-ray14
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NSGANetV1-A3
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ChestXray14 1024x1024
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StyleGAN2-ADA
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ChestX-ray14
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DensNet121
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ChestX-ray14
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ResNet50
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ChestX-ray14
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StyleGAN2 with DiffAugment
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Papers
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