Studies from Khwaja Fareed University of Engineering and Information Technology in the Area of Down Syndrome Published (Novel Transfer Learning Based Deep Features for Diagnosis of Down Syndrome in Children Using Facial Images).

A recent study conducted by researchers at Khwaja Fareed University of Engineering and Information Technology in Pakistan has developed a novel transfer learning-based deep feature extraction method for the early diagnosis of Down syndrome in children using facial images. The study utilized 3,009 facial images of children with Down syndrome and healthy children, and proposed a unique feature extraction method called VNL-Net. The research found that the logistic regression method outperformed previous studies with a high accuracy of 0.99. The study has the potential to revolutionize the early diagnosis of Down syndrome in children using facial images. [Extracted from the article]

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