Using deep learning methods, age and gender estimation from people’s facial area has become popular. Recently, with the increase in use of masks due to Covid-19, only eye people is seen. The periorbital region can give an idea about person’s characteristics, such as gender. This study it aimed predict images obtained by cutting photographs using Visual Geometry Group-16 (VGG16). With transfer m...

In neuroimaging, the difference between chronological age and predicted brain age, also known as delta , has been proposed a pathology marker linked to range of phenotypes. Brain is estimated using regression, which involves frequently observed bias due negative correlation delta. prediction models, this can manifest an overprediction young brains underprediction for elderly ones. We show that ...

Machine Learning methods are often adopted to infer useful biomarkers for the early diagnosis of many neurodegenerative diseases and, in general, neuroanatomical ageing. Some these estimate subject age from morphological brain data, which is then indicated as “brain age”. The difference between such a predicted and actual chronological can be used an indication pathological deviation normal An ...

Over the recent years, a great deal of effort has been made to age estimation & gender recognition from face images. It has been reported that age can be accurately estimated under controlled environment such as frontal faces, no expression, and static lighting conditions. However, it is not straightforward to achieve the same accuracy level in real-world environment because of considerable var...