Breast cancer continues to be a significant public health problem in the world.
Approximately, 182,000 new cases of breast cancer are diagnosed and 46,000 women die …

Machine learning offers a principled approach for developing sophisticated, automatic, and
objective algorithms for analysis of high-dimensional and multimodal biomedical data. This …

Breast cancer is the second leading cause of cancer death in women. Accurate early
detection can effectively reduce the mortality rate caused by breast cancer. Masses and …

Many computer vision problems can be considered to consist of two main tasks: the
extraction of image content descriptions and their subsequent matching. The appropriate …

Clusters of microcalcifications in mammograms are an important early sign of breast cancer.
This paper presents a computer-aided diagnosis (CAD) system for the automatic detection of …

To increase the ability of ultrasonographic technology for the differential diagnosis of solid
breast tumors, we describe a novel computer-aided diagnosis (CADx) system using neural …

Today, the US healthcare industry alone can save $300 B per year by using machine
intelligence to analyze a rich set of existing medical data; results from these analyses can …

The purpose of this study was to evaluate the performance of neural network model self-
organizing maps (SOM) in the classification of benign and malignant sonographic breast …

PURPOSE: To increase the capabilities of ultrasonographic (US) technology for the
differential diagnosis of solid breast tumors by using a neural network. MATERIALS AND …

To increase the ability of ultrasonographic (US) technology for the differential diagnosis of
solid breast tumors, we describe a novel computer-aided diagnosis (CADx) system using …