“The greatest difficulty was in finding data to train the system. People do not like to share their ultrasound images, hence the data set initially available was really small and not sufficient to cover all the possible patterns [which is necessary for the software to make a good diagnosis],” says Prof. Rajalakshmi. The team was helped in this by two healthcare centres in Hyderabad.
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