Paper—Classification of Breast Cancer Tumors Using Mammography Images Processing Based on… Classification of Breast Cancer Tumors Using Mammography Images Processing Based on Machine Learning https://doi.org/10.3991/ijoe.v18i05.29197 Farahnaz Zahedi, Mohammad Karimi Moridani ( * ) Department of Biomedical Engineering, Islamic Azad University, Tehran, Iran karimi.m@iautmu.ac.ir Abstract—Using intelligent methods to identify and classify a variety of dis- eases, in particular cancer, has gained tremendous attention today. Tumor classi- fication plays an important role in medical diagnosis. This study's goal was to classify breast cancer (BC) tumors using software-based numerical techniques. To determine whether breast cancer masses are benign or malignant, we used MATLAB version 2020b to build a neural network. In the first step, the features of the training images and their output classes were used to train the network. Optimal weights were obtained after several repetitions, and the network was trained to produce the best result in the test phase after several repetitions. Be- cause of using effective and accurate features, the method suggested here, which was based on an artificial neural network, delivered the diagnostic accuracy, specificity, and sensitivity of 100%, 100%, and 100%, respectively, to discern benign from malignant BC tumors, showing a better performance compared to previously proposed methods. One of the challenges for imaging-based diagnos- tic techniques in medicine is the difficulty of processing dense tissues. Breast cancer is one of the most common progressive diseases among females. Early diagnosis makes treatment easier and more effective. Using AI-based methods for automated diagnosis purposes can be valuable and have a reduced error rate because accurate diagnosis by manual means is time-consuming and error-prone. Keywords—mammography images, breast cancer, benign and malignant masses, statistical processing, machine learning 1 Introduction There are different organs in the human body, each of which has a special function for the health of the body and the soul. The breast is one such organ unique to the feminine body. There are many different types of breast diseases, including breast can- cer (BC), which is a particularly important group. Breast cancer is the most common form of cancer and the third leading cause of death among women [3], killing many women annually [1]. Today, BC is among the most devastating diseases and a serious health problem worldwide and in any society [1, 2]. Although cancer-related mortality continues to rise, early detection of benign from malignant BC tumors (i.e., earlier than iJOE ‒ Vol. 18, No. 05, 2022 31