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Papers Benchmarks Datasets Tasks

COVID-19 Classification research benchmarks · SOTA2 Research

COVID-19 Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

92.8F1 Score

6

Mar 17, 2026

Frontal Chest X-ray Images (COVID-19 Pneumonia)

Rajaraman et al

98.41F1 (CP Class)

6

Feb 26, 2026

COVID-19 Flow cytometry BDC2 panel

60Balanced Accuracy

5

Jun 25, 2026

COVID-19 Flow cytometry BDC1 panel

61Balanced Accuracy

5

Jun 25, 2026

COVID-19 scRNA-seq scVI embedding

73Balanced Accuracy (bAcc)

5

Jun 25, 2026

COVID-19 scRNA-seq PCA embedding

64Balanced Accuracy

5

Jun 25, 2026

DiCOVA Track 1 blind 2021 (test)

CNN with Data Augmentation

87.07AUC

5

May 21, 2026

IEEE-8023 X-ray Binary Class (test)

CNN-based CAD system

97Accuracy

4

May 21, 2026

Radiography Database X-ray Multi-class (test)

CNN-based CAD system

95Accuracy

3

May 21, 2026

Segmented lungs (+ve 410; -ve 500) (test)

99.26Accuracy

3

Apr 30, 2026

Segmented lungs (+ve 510; -ve 2160) (test)

96.28F1 Score

2

Apr 30, 2026

341 images dataset

98Accuracy

1

Jun 30, 2026

1,127 images dataset

98.08Accuracy

1

Jun 30, 2026

3,616 images dataset

93.94Accuracy

1

Jun 30, 2026

423 images dataset

Chowdhury et al.

96.58Accuracy

1

Jun 30, 2026

Proposed system

98.6Accuracy

1

Jun 30, 2026

Segmented lungs (+ve 2200; -ve 2100) (test)

94.88Accuracy

1

Apr 30, 2026

Popular datasets

Segmented lungs Images dataset COVID-19 scRNA-seq COVID-19 Flow cytometry Frontal Chest X-ray Images

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