This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named contrast-limited adaptive histogram equalization (CLAHE) to remove noise and intensity inhomogeneities. The proposed preprocessing filter, called fuzzy contrast-limited adaptive histogram equalization (FCLAHE), performs n...

The most frequent symptoms of ductal carcinoma recognised by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts. We present a new computer-aided detection system for small field digital mammography in planning of breast biopsy. The system processes the mammograms in several steps. First, we filter the original picture ...

The most frequent symptoms of ductal carcinoma recognized by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts. We present a new system for computer-aided diagnosis of breast carcinoma, from digital mammograms. The images are processed in several steps. First, we filter the original picture with a filter that is sensi...

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 th...

Architectural distortion in mammography is the most missing finding for radiologists, despite high malignancy. Many research groups have developed methods for automated detection of architectural distortion. However, improvement of their detection performance is desired. In this study, we developed a novel method for automated detection of architectural distortion in mammograms. To detect the m...

Breast cancer is one of the leading causes of women mortality in the world. Since the causes are unknown, breast cancer cannot be prevented. It is difficult for radiologists to provide both accurate and uniform evaluation over the enormous number of mammograms generated in widespread screening. Microcalcifications and masses are the earliest signs of breast carcinomas and their detection is one...

Digital Mammograms are currently the most effective imaging modality for early detection of breast cancer but the number of false negatives and false positives is high. Mass is one type of breast lesion and the detection of masses is highly challenged problem. Almost all methods that have been proposed so far suffer from high number of false positives and false negatives. In this paper, a metho...

background: breast cancer is one of the most important diseases in females. malaysian women have not excluded. according to the malaysian oncology society [1], about 4% of women (who are 40 years old and above) have involved by breast cancer. masses and microcalcifications are two important signs for breast cancer diagnosis on mammography. according to our estimation, radiologists could diagnos...

Breast Cancer (BC) is considered the most commonly scrutinized cancer in women worldwide, affecting one eight a lifetime. Mammography screening becomes such standard method that helpful identifying suspicious masses’ malignancy of BC at an initial level. However, prior identification masses mammograms was still challenging for extremely dense and breast categories needs effective automatic mech...

Mammography is one of the most important imaging techniques to diagnose breast cancer. It is perhaps the single most important innovation in breast cancer control. The importance of mammography is directly related to its value in the early detection and management of breast cancer. Mammography detects approximately 2-3 times as many early breast cancers as physical exams. Breast cancer is the s...