Breast cancer is the most common killer in women worldwide, which is originating from breast tissue. Early detection of breast cancer plays an important role in its therapy. Existing breast cancer detection method like ultrasound imaging can not be used at all ages, also quality of obtained images affected by speckle noise. Thus, it is essential to introduce new method to overcome these problem...

Breast density segmentation and classification methods are combined to enable the automatic and quantitative comparison of temporal mammograms of women using Hormone Replacement Therapy (HRT). The results are based on registration and density quantification, so that potentially the clinician may be informed about substantial localised breast density changes. The measures use texture based densi...

PURPOSE To evaluate whether contrast enhancement on cone-beam breast-CT (CBBCT) could aid in discrimination of breast cancer subtypes and receptor status. METHODS This study included female patients age >40 years with malignant breast lesions identified on contrast-enhanced CBBCT. Contrast enhancement of malignant breast lesions was standardized to breast fat tissue contrast enhancement. All ...

BACKGROUND Breast cancer in pregnancy accounts for 2%-3% of all breast cancers. The increased vascularity and lymphatic drainage from the breast during pregnancy potentiate the metastatic spread of the cancer to the regional lymph nodes. However, the increased breast density in pregnancy makes it difficult to detect breast lesions early. AIM To evaluate and compare the detection rate of breas...

introduction: the gastrin releasing peptide (grp) receptor is over expressed in a variety of common human tumors. radiolabeled bombesin analogues have exhibited high binding affinity for these receptors. the aim of this study was to assess the value of a new 99mtc-bombesin analog in the differentiation of malignant from benign breast tumors. methods: 99mtc-bombesin scans were performed in 21 pa...

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

This paper presents a computer-aided analysis of pigmented skin lesions following the ABCD guidelines used by Dermatologists. There are 3 steps to this process: image segmentation, feature analysis and machine learning. The most important and foundational step is image segmentation. In this paper we present 3 lesion segmentation algorithms: Radial Search, Region Growing Search using Flood Fill ...

Introduction: Tuberculosis (TB) and its diagnosis are of great importance in the middleeast, according to the increasing burden of this disease and the large number of unreported cases. Less than 20% of all TB cases only have extra-pulmonary manifestations and breast TB is a rare form of extra-pulmonary TB. It includes about 1% of all breast lesions. Case Presentation: This study presents a br...

Introduction: Tuberculosis (TB) and its diagnosis are of great importance in the middleeast, according to the increasing burden of this disease and the large number of unreported cases. Less than 20% of all TB cases only have extra-pulmonary manifestations and breast TB is a rare form of extra-pulmonary TB. It includes about 1% of all breast lesions. Case Presentation: This study presents a br...