Your own data
Cost: Free during Beta
Pingan Coronavirus Medical Imaging AI System can generate smart analysis results in around 15 seconds for normal CT series scanning, the system has four major fuctions:
1) Lesion segmentation for generate quantitative measurement results
2) Lung segmentation for quantification(percentage of lesion)
3) Lobe segmentation for lesion location
4) Image registration for follow up
And can be used in the following scenarios:
1) Coronavirus Suspected Case Screening and Early Detection
2) Coronavirus Suspected Case Quantitative Analysis and Reporting
3) Follow-up and Treatment Effectiveness Evaluation.
1) DICOM CT Series with thickness no more than 5mm
2) bodypart must be CHEST and should be in axial file
This model is designed to detect and segment pneumonia lesions, not only for covid 19 but also opacities in other pneumonia diseases, and quantitatively analyze those lesions.
The model is trained on data from several sources in China in an end-to-end manner.
For classifying negative VS positive
For lesion segmentation