We have already trained 631 chest X-ray images of Covid-19 vs another 631 Non-Covid-19 (associated to different pneumonias or normal images), using transfer learning techniques of a ML/DL algorithm and we got excellent performances (higher than 99% on accuracy, specificity and sensitivity)...we think we need to increase dataset training, particularly through the enrolment of hospital radiologist image signature to confirm that we are not having biases coming from the use of public datasets bank biased...this our main concern right now !
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