Three-dimensional visualization of medical imaging technology uses two-dimensional medical image sequences to reconstruct three-dimensional model, providing the physician with intuitive, comprehensive, accurate information about the focus and normal tissues, is currently a hot research field of medicine. This essay makes a comparison between the two currently popular algorithms – surface rendering algorithm and volume rendering algorithm, with its focus on the introduction of MC algorithm, meanwhile achieves the integration of three types of improved MC algorithm, completes a high-precision, high-efficiency surface rendering process based on .MFC and OpenGL technologies.
Computer-aided diagnosis for colon polyps automatically determines the locations of suspicious polyps and masses in Colonoscopy and presents them to doctors, typically as a second opinion. The proposed of Computer-aided diagnosis system consists:Using histogram equalization to do the image in the feature extraction and the classification. The researched image data were collected from a community hospital in Mid-Taiwan. First we used the histogram equalization to do the image enhancement, we got six characteristic values and calculate by the gray-scale co-occurrence matrix to get feature extraction. Finally, we used Decision Tree, Logistic Regression and ENSEMBLE to undergo colonoscopy image data classification. This researched found that difference of six texture parameter between normal and polyp group is significant. The accuracy of ENSEMBLE classification is best (90.00%). It indicates the ENSEMBLE classifier based on texture is effective for classifying polyp from tissue on colon imaging. The results of this study can be help the physician to get reliable and consistent diagnostic results and improve the quality of diagnostic imaging.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.