A Quantitative Ultrasound-Based Multi-Parameter Classifier for Breast Masses

Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach

PURPOSE This study demonstrated the ability of quantitative ultrasound (QUS) parameters in providing an early prediction of tumor response to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC). METHODS Using a 6-MHz array transducer, ultrasound radiofrequency (RF) data were collected from 58 LABC patients prior to NAC treatment and at weeks 1, 4, and 8 of th...

Correction: Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

Sub-Masses Detection in Malignant Breast Ultrasound Images

Th is work deals with detection of sub-lesions and major lesion in breast ultrasound (US) images. Most of the recent classificat ion uses normal and abnormal breast images to develop their algorithm. The majority of the current algorithms are interested in the major lesion when detecting the lesion boundary. US images, in first step were roughly preprocessed and classified. A function based on ...