Under the supervision of Mrs. Dean of the Faculty of Computer Science and Information Technology, Dr. Salma Abdel-Baqi Mahmoud, the respected master’s thesis submitted by the student Faten Salem Hanoun from the Department of Computer Information Systems under the supervision of Prof. Dr. Abbas Hanoun, entitled “Detection of Alzheimer’s disease on the basis of the convolutional neural network” was held. Which aimed to build a model that helps in making early diagnosis of Alzheimer's disease by suggesting an improved neural network developed for the network ResNet-50, which they called the network ResNetF and showed
Experimental results show that the developed network works perfectly, which indicates the robustness and superiority of the model. The proposed method successfully classified the four stages of Alzheimer's disease and the results were as follows: Accuracy 97.49%, and 98% for each of (Precision, Recall, F1-score).The discussion committee recommended accepting the letter after making minor modifications, with distinction
