Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
N PiliourasD Cavouras

Abstract

An efficient classification algorithm is proposed for characterizing breast lesions. The algorithm is based on the cubic least squares mapping and the linear-kernel support vector machine (SVM(LSM)) classifier. Ultrasound images of 154 confirmed lesions (59 benign and 52 malignant solid masses, 7 simple cysts, and 32 complicated cysts) were manually segmented by a physician using a custom developed software. Texture and outline features and the SVM(LSM) algorithm were used to design a hierarchical tree classification system. Classification accuracy was 98.7%, misdiagnosing 1 malignant an 1 benign solid lesions only. This system may be used as a second opinion tool to the radiologists.

References

Nov 1, 1990·Radiology·V P Jackson
Nov 7, 1999·Radiology·H M ZonderlandA E van Voorthuisen
Dec 2, 1999·Radiology·G RahbarL W Bassett
Mar 1, 2000·IEEE Transactions on Medical Imaging·L M Bruce, R R Adhami
Apr 25, 2000·Ultrasound in Medicine & Biology·D ChenY L Huang
Jun 8, 2000·Archives of Surgery·R F ChangY H Chou
Apr 20, 2001·AJR. American Journal of Roentgenology·J A BakerE L Rosen
Jan 1, 1993·IEEE Transactions on Medical Imaging·P M ShankarB B Goldberg

❮ Previous
Next ❯

Citations

Jun 27, 2012·Journal of Digital Imaging·Jianrui DingYingtao Zhang
Nov 4, 2006·Journal of Mammary Gland Biology and Neoplasia·Chandra M SehgalEmily F Conant
Mar 26, 2005·Investigative Ophthalmology & Visual Science·Christopher BowdMichael H Goldbaum
Jan 31, 2009·Computers in Biology and Medicine·Wei YangYaqing Chen
Sep 5, 2013·IEEE Transactions on Medical Imaging· Min-Chun Yang Ruey-Feng Chang
Sep 8, 2009·Journal of Zhejiang University. Science. B·Sheng Tang, Si-ping Chen
Dec 20, 2008·Environmental Geochemistry and Health·Anwar ZahidMatthias Flegr
Jan 25, 2013·International Journal of Environmental Research and Public Health·Jia-Qian JiangSayedur Rahman Chowdhury
Jan 28, 2017·Computational and Mathematical Methods in Medicine·Mohammad I DaoudRami Alazrai

❮ Previous
Next ❯

Related Concepts

Related Feeds

Cancer Imaging

Imaging techniques, including CT and MR, have become essential to tumor detection, diagnosis, and monitoring. Here is the latest research on cancer imaging.

© 2022 Meta ULC. All rights reserved