Development of microcalcification detection filter called “firefly” for breast ultrasound

Breast Microcalcification Detection Using Super-Resolution Ultrasound Image Reconstruction

Microcalcification Detection in Breast Ultrasound - A New Perspective?

The prime task of diagnostic breast ultrasound is the focused rapid assessment of new findings on palpation, particularly in young women with dense mammary tissue. Optimization of the devices for this modality has resulted in high-resolution breast ultrasound which over the last few years has led to marked improvements in image quality, detail recognition and spatial resolution of the sonograph...

Contrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters

Introduction Breast cancer is one of the most common types of cancer among women.  Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...

Microcalcification detection in digital mammograms using novel filter bank

Mammography is a widely used diagnostic technique for early breast cancer detection in women. Clusters of Microcalcification are the sign of breast cancer and their detection will decrease the probability of mortality rate and improves its prognosis. The detection of microcalcification clusters is a difficult task for radiologists because of variations of size and orientation and are highly cor...

Sparse Representation for Detection of Microcalcification Clusters

We present an approach to detect MCs in mammograms by casting the detection problem as finding sparse representations of test samples with respect to training samples. The ground truth training samples of MCs in mammograms are assumed to be known as a priori. From these samples of the interest object class, a vocabulary of information-rich object parts is automatically constructed. The sparse r...