The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms (2022)

Symposium on Symbolic and Numeric Algorithms for Scientific Computing Authors Madalina Dicu, L. Dioşan, A. Andreica, C. Chira, Alin Cordoş Abstract Breast cancer is the most commonly diagnosed type of cancer. It is essential to classify patients as quickly as possible into groups with a high or low risk of cancer, to provide adequate…

An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection (2022)

International Conference on Knowledge-Based Intelligent Information & Engineering Systems Authors Cristiana Moroz-Dubenco, Adél Bajcsi, A. Andreica, C. Chira Abstract Breast cancer causes numerous deaths worldwide; yet the numbers have decreased in the past years as a result of computer-aided diagnosis and proper treatment. The current paper is addressed to the base of such diagnosis…