A master's thesis at the College of Computer Science and Information Technology at  University of Basrah examines the classification and analysis of neuromusculoskeletal diseases using CNN and Convolutional LSTM.

The thesis, presented by Zainab Abdul Ali Abdul Razzaq, a student in the Department of Computer Science, aims to use deep learning techniques to classify neuromusculoskeletal diseases and predict recovery stages using video data. The thesis included the development of a Flask-based user interface to facilitate the system's use, allowing users to upload videos to classify disease conditions and effectively predict recovery trajectories.