This work aims to propose an interactive method for a iconic and textual annotation of digital mammograms. The suggested annotation tool consists of a semantic network to represent all information about a set of mammograms obtained from experts in a structured manner based on the BIRADS standard, a correlated XML file system for persistence, data exchange and storage, and a graphical user inter...

Although the observation of breast vascular tumors is rare, the most common tumor is hemangıoma in the benign group, and these tumors are observed incidentally in lumpectomy or mastectomy specimens during histological examinations. They are classified into capillary, cavernous, and venous hemangıomas. Cavernous hemangıoma is the most common subtype. Cavernous hemangıomas are benign vascular tum...

Diagnostic imaging has provided clinicians with increasingly sophisticated noninvasive representations of disease. Correlation of radiological interpretations to histopathologic diagnoses has been an important element for quality improvement and education programs [1]. In the field of breast imaging, correlation to pathology findings is mandated by law [2]. Traditional manual methods for abstra...

Background: Fibroadenoma is the most common type of breast tumor diagnosed in young women, children and adolescents it called juvenile fibroadenoma. These tumors often result emergence, self-confidence, anxiety adolescents. Case Report: A 21-year-old female patient came to surgical clinic with lumps right left breasts since about 4 years ago. History physical examination showed were suspiciousl...

We propose to model breast tissue in mammograms covering both density and tissue patterns. The breast tissue density modelling is based on the global density distribution of the breast region. We segment the whole breast region into a number of uniform density sub-regions and construct an overall density model of the breast using the relative proportions of these sub-regions. The breast tissue ...

Mass abnormality segmentation is a vital step for the medical diagnostic process and is attracting more and more the interest of many research groups. Currently, most of the works achieved in this area have used the Gray Level Co-occurrence Matrix (GLCM) as texture features with a region-based approach. These features come in previous phase for segmentation stage or are using as inputs to class...