# COVID-19 Classification on Frontal Chest X-ray Images (COVID-19 Pneumonia) Source: [COVID-19 Classification on Frontal Chest X-ray Images (COVID-19 Pneumonia)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:42:49.860Z Evaluation of model performance for classifying COVID-19 cases using the Frontal Chest X-ray Images dataset, focusing on F-score metrics. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | COVID-19 Classification | | Dataset (including any stated split) | Frontal Chest X-ray Images (COVID-19 Pneumonia) | | Metric | F1 (CP Class) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [F1 (CP Class)](): Higher is better; unit: PERCENT. ## Recorded results | Method | F1 (CP Class) | Result date | Report paper | | --- | --- | --- | --- | | Rajaraman et al | 98.41 | Not recorded | 68fa68081e209131cea19aad | | Khan et al | 95.6 | Not recorded | 68fa68081e209131cea19aad | | Wang and Wang | 94.8 | Not recorded | 68fa68081e209131cea19aad | | Mangal et al | 92.3 | Not recorded | 68fa68081e209131cea19aad | | COVID-CXNet | 92.21 | Not recorded | 68fa68081e209131cea19aad | | Zhang et al | 72 | Not recorded | 68fa68081e209131cea19aad | ### Rajaraman et al F1 (CP Class): 98.41. Result ID: 698d547c8b517eb43320b334. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Num CP Images":"313","Pediatric Bias":"No","Pretrained Weights":"Yes, ImageNet","Architecture":"Multiple (Ensemble) Best: InceptionV3","Lung Segmentation":"Yes, U-Net"}. This record does not assert independent reproduction. ### Khan et al F1 (CP Class): 95.6. Result ID: 698d547c8b517eb43320b333. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Num CP Images":"284","Pediatric Bias":"Yes","Pretrained Weights":"Yes, ImageNet","Architecture":"Xception","Lung Segmentation":"No"}. This record does not assert independent reproduction. ### Wang and Wang F1 (CP Class): 94.8. Result ID: 698d547c8b517eb43320b335. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Num CP Images":"358","Pediatric Bias":"No","Pretrained Weights":"No","Architecture":"COVID-Net (Custom Architecture)","Lung Segmentation":"No"}. This record does not assert independent reproduction. ### Mangal et al F1 (CP Class): 92.3. Result ID: 698d547c8b517eb43320b336. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Num CP Images":"358","Pediatric Bias":"Yes","Pretrained Weights":"Yes, CheXNet","Architecture":"DenseNet","Lung Segmentation":"No"}. This record does not assert independent reproduction. ### COVID-CXNet F1 (CP Class): 92.21. Result ID: 698d547c8b517eb43320b337. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Num CP Images":"700","Pediatric Bias":"No","Pretrained Weights":"Yes, CheXNet","Architecture":"DenseNet","Lung Segmentation":"Yes, U-Net"}. This record does not assert independent reproduction. ### Zhang et al F1 (CP Class): 72. Result ID: 698d547c8b517eb43320b332. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Num CP Images":"100","Pediatric Bias":"No","Pretrained Weights":"Yes, ImageNet","Architecture":"ResNet","Lung Segmentation":"No"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.