Large Dataset of Labeled Optical Coherence Tomography (OCT) [100]
|
5856 |
Pneumonia |
[22], [24], [51], [71], [101], [102], [103]
|
COVID Chestxray Dataset [104]
|
646 |
COVID-19, Pneumonia |
[10], [41], [54], [57], [58], [60], [67], [70], [72], [74], [75], [76], [77], [78], [82], [87], [93], [105], [106], [107], [108]
|
COVID19 Radiography Dataset [109], [110]
|
21,165 |
COVID-19,Viral Pneumonia, Lung Opacity |
[42], [54], [60], [103], [108], [111]
|
Chest X-ray Images (Pneumonia) [112]
|
5863 |
Virus and Bacterial Pneumonia |
[9], [40], [57], [58], [62], [68], [75], [78], [80], [81], [105], [106], [113], [114], [115], [116]
|
Kaggle COVID-19 Patients Lungs X Ray Images 10000 [117]
|
100 |
COVID-19 |
[42] |
Chest X-ray14 (latest version of chest X-ray8) [118]
|
112,120 |
Pneumonia Pathology classes |
[23], [70], [76], [81], [85], [87], [92], [93], [119]
|
CheXpert [120]
|
224,316 |
Pneumonia |
[23], [57]
|
COVID-19 X rays [121]
|
95 |
COVID-19 |
[10], [59]
|
COVIDx [44]
|
13,975 |
Bacterial and Viral Pneumonia, COVID-19 |
[44], [47], [72], [79], [89]
|
CoronaHack - Chest X-ray-Dataset [122]
|
5933 |
COVID-19 |
[56] |
Mendeley Augmented COVID-19 X-ray Images Dataset [123]
|
1824 |
COVID-19 |
[67] |