Mammography is the best available tool for screening for the early detection of breast
cancer. Mammographic screening has been shown to be effective in reducing breast cancer …

Fractal analysis has been shown to be useful in image processing for characterizing shape
and gray-scale complexity. Breast masses present shape and gray-scale characteristics that …

A neural network ensemble (NNE) based computer-aided diagnostic (CAD) system to assist
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …

We present methods for the detection of sites of architectural distortion in prior
mammograms of interval-cancer cases. We hypothesize that screening mammograms …

Content-based retrieval for the comparative analysis of mammograms containing masses is
presented as one part of a larger project on the development of a content-based image …

Architectural distortion is an important sign of breast cancer, but because of its subtlety, it is a
common cause of false-negative findings on screening mammograms. This paper presents …

The last decade witnessed a growing interest in research on content-based image retrieval
(CBIR) and related areas. Several systems for managing and retrieving images have been …

Malignant breast tumors typically appear in mammograms with rough, spiculated, or
microlobulated contours, whereas most benign masses have smooth, round, oval, or …

Architectural distortion is an important sign of early breast cancer. Due to its subtlety, it is
often missed during screening. We propose a method to detect architectural distortion in …

We propose an approach using artificial neural networks to classify masses in
mammograms as malignant or benign. Single-layer and multilayer perceptron networks are …