Linear maps characterized by the action on square-zero elements

Development of the cubic least squares m

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

✍ N. Piliouras; I. Kalatzis; N. Dimitropoulos; D. Cavouras 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 286 KB

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 si