Mammography is successfully used as an effective screening tool for cancer diagnosis. A
calcification cluster on mammography is a primary sign of cancer. Early researches have …

The 2D Wavelet-Transform Modulus Maxima (WTMM) method was used to detect
microcalcifications (MC) in human breast tissue seen in mammograms and to characterize …

Microcalcification (MC) clusters in mammograms are one of the primary signs of breast
cancer. In the literature, most MC detection methods follow a two-step paradigm: segmenting …

The aim of the study was to evaluate the effect of two lossy image compression methods on
fractal dimension (FD) calculation. Ten periapical images of the posterior teeth with no …

Classifying mammograms scored at Breast Imaging-Reporting and Data System (BI-RADS)
4 is crucial for the early detection of breast cancer. But it is particularly challenging because …

Breast cancer is one of the most common cancers worldwide. Breast cancer rates are high in
low-and middle-income countries, where breast tumors are diagnosed late. Early detection …

Breast cancer is the most cause of death for women above age 40 around the world. In this
paper, we propose a method to detect microcalcifications in digital mammography images …

Breast cancer represents the most frequently diagnosed cancer in women. In order to
reduce mortality, early detection of breast cancer is important, because diagnosis is more …

This article introduces a fast fractal method for classifying breast cancerous lesions in
mammography. While fractal methods are valuable for extracting information, they often …

We present a new method for automatic detection of micro-calcifications using the
Discriminative Restricted Boltzmann Machine (DRBM). The DRBM is used to automatically …