Particle Swarm Optimization for Predicting Breast Cancer
H Harish, D. S. Bharathi, M. Sai Pratibha, Deeksha Holla, K B Ashwini, K R Keerthana · 2022
the second leading cause of mortality is cancer. The primary cause of the rise in women's death is breast cancer. One in eight females globally impacted by it. Breast cancer diagnosed by detecting the malignous cells of breast tissue. Modern medical image processing techniques works on histopathology images, which are captured by a microscope, and analyse them by using different algorithms and methods. Machine learning algorithms are widely used for processing medical images and pathological tools. In deep learning, this often carried by extracting features through the Convolutional Neural Network (CNN) and then classified using a fully connected neural network. In this paper, the algorithms used are CNN, Particle Swarm Optimization (PSO), and Support Vector Machine (SVM).