Machine Learning based Segmentation for the Detection of Liver Disease

Abstract

The support of Artificial intelligence (AI) can be used to update traditional healthcare services, and it can efficiently serve society. Using machine learning tools, the diagnosis process can be automated, and practitioners can process large scale clinical data to generate quick medical advisory for patients. In this paper, a segmentation based liver tumor detection scheme will be introduced, and its performance will be analyzed using different classifiers under the constraints of metric, i.e., accuracy, Recall, F1-Score, and Precision, etc.