PACIB project Platform for the acquisition, analysis and classification of biomedical images for the early diagnosis of neurodegenerative diseases (2018-2020)
The goal is to create a platform equipped with a robot which, starting from a database of images produced by diagnostic devices, integrated with clinical and genetic data, learns and identifies classification models of these images, for the purpose of early diagnosis, and a robot for the integration of data from public databases supported by an adequate system software for the management of the various applications.
Presentation_PACIB_2020
Web service for the diagnosis of Alzheimer’s disease through PET images.
The service exploits the technique of convolutional neural networks (CNN) very efficient in the image analysis phase through machine learning algorithms.
The service exploits the technique of convolutional neural networks (CNN) very efficient in the image analysis phase through machine learning algorithms.