Abstract:

Segmentation is a basic step in medical images analysis, often fundamental for computer-aided detection and diagnosis systems. The method based on a Convolutional neural network is presented, performing a semantic segmentation of the Computed Tomography (CT) scan images for identification of tumours and tuberculosis in hip-joint by Convolutional Neural Network (CNN) algorithm using MATLAB

Key WordS Segmentation, Tumour, Tuberculosis, Convolutional Neural Networks, MATLAB;