A digital mammogram generally detects varying degrees of breast cancer such as clustered microcalcifications, speculated lesions, circumscribed masses, ill-defined masses, and architectural distortions. Many methods of analysing digital mammograms have been recently examined and yielded varied success. Common techniques from the field of image processing have been applied to digital mammograms ...

Breast cancer is one of the leading causes of cancer death among women worldwide. The proposed approach comprises three steps as follows. Firstly, the image is preprocessed to remove speckle noise while preserving important features of the image. Three methods are investigated, i.e., Frost Filter, Detail Preserving Anisotropic Diffusion, and Probabilistic Patch-Based Filter. Secondly, Normalize...

although most breast cancers are adenocarcinomas of the mammary gland, primary breast sarcomas may also arise from mammary gland mesenchymal tissue. sarcomas represent less than 1% of primary breast neoplasms. these tumors are at high risk of recurrence and are known to have poor prognosis. surgical resection is the primary treatment for these lesions and axillary lymph node dissection is not r...

Magnetic resonance imaging (MRI) is emerging as a powerful tool for the diagnosis of breast abnormalities. Dynamic analysis of the temporal pattern of contrast uptake has been applied in differential diagnosis of benign and malignant lesions to improve specificity. Selecting a region of interest (ROI) is an almost universal step in the process of examining the contrast uptake characteristics of...

Mammography is widely recognized as the most reliable technique for early detection of breast cancers. Automated or semi-automated computerized classification schemes can be very useful in assisting radiologists with a second opinion about the visual diagnosis of breast lesions, thus leading to a reduction in the number of unnecessary biopsies. We present a computer-aided diagnosis (CADi) syste...

OBJECTIVE To evaluate the nature and imaging appearance of incidental enhancing breast lesions detected on a routine contrast-enhanced chest CT. MATERIALS AND METHODS Twenty-three patients with incidental enhancing breast lesions on contrast-enhanced chest CT were retrospectively reviewed. The breast lesions were reviewed by unenhanced and enhanced CT, and evaluated by observing the shapes, m...

Abstract Background Breast cancer is the most common malignant tumor among women. The mortality of patients could be mainly attributed to metastasis and spread breast distant sites. objective current study evaluate express role diffusion-weighted whole body imaging with background signal suppression (DWIBS) in detection osseous soft tissue metastatic lesions breast. Results prospective included...

Introduction: Nipple discharge is the third most common complaint of the breast diseases following the breast mass and the breast pain. The majority of the lesions causing pathological nipple discharge (PND) consist of non-palpable breast lesions (NPBLs). When non-operative diagnostic tools are inadequate to distinguish the diagnosis, the pathological duct should be removed to ...

Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Exper...