Horizontal Voting Ensemble Based Predictive Modeling System for Colon Cancer  

作　　者：Ushaa Eswaran S.Anand 

机构地区：[1]Department of Electronics and Communication Engineering,Infant Jesus College of Engineering,Tuticorin,Tamil Nadu,India [2]Department of Computer Science and Engineering,Infant Jesus College of Engineering,Tuticorin,Tamil Nadu,India

出　　处：《Computer Systems Science & Engineering》2023年第8期1917-1928,共12页计算机系统科学与工程（英文）

摘　　要：Colon cancer is the third most commonly diagnosed cancer in the world.Most colon AdenoCArcinoma(ACA)arises from pre-existing benign polyps in the mucosa of the bowel.Thus,detecting benign at the earliest helps reduce the mortality rate.In this work,a Predictive Modeling System(PMS)is developed for the classification of colon cancer using the Horizontal Voting Ensemble(HVE)method.Identifying different patterns inmicroscopic images is essential to an effective classification system.A twelve-layer deep learning architecture has been developed to extract these patterns.The developedHVE algorithm can increase the system’s performance according to the combined models from the last epochs of the proposed architecture.Ten thousand(10000)microscopic images are taken to test the classification performance of the proposed PMS with the HVE method.The microscopic images obtained from the colon tissues are classified intoACAor benign by the proposed PMS.Results prove that the proposed PMS has∼8%performance improvement over the architecture without using the HVE method.The proposed PMS for colon cancer reduces the misclassification rate and attains 99.2%of sensitivity and 99.4%of specificity.The overall accuracy of the proposed PMS is 99.3%,and without using the HVE method,it is only 91.3%.

关 键 词：Colon cancer microscopic images medical image processing ensemble approach computer aided diagnosis texture analysis 

分 类 号：R735[医药卫生—肿瘤]