Diagnostic du cancer du sein avec l’algorithme des K PLUS proches voisin (KNN)
Directed by: Samira Mohammadi
Supervised by: Prof. Yacine Yaddaden
This project proposes a computer-aided diagnosis for breast cancer using the K-Nearest Neighbor (KNN) algorithm. The goal is to develop a reliable and efficient diagnostic tool that can identify breast cancer at an early stage. The KNN algorithm is implemented using the Sharp C programming language, with model performance evaluation using a test data set. The results show that the accuracy of the KNN model strongly depends on the value of K, with a maximum accuracy of 90.71% for K=9. Further studies are needed to optimize this value and evaluate the performance of the algorithm on larger data sets.