BACKGROUND Palpable breast lump, breast pain, and nipple discharge are common symptoms of breast disease. Breast cytology (fine-needle aspiration, nipple discharge smear, and touch preparation) accurately identifies benign, atypical, and malignant pathological changes in breast specimens. This study aims to determine the types of breast lesions diagnosed by breast cytology and assess the clinic...

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...

Objective(s): Controversy exists about the localization of non-palpable breast lesions. In many countries, the gold standard for the diagnosis of these lesions is needle localization due to its accuracy. This study sought to compare the ultrasoundand radio-guided occult lesion localization (ROLL) as a simple method with the conventional procedures in terms of their diagnostic power. Methods: Th...

This study established a fully automated computer-aided diagnosis (CAD) system for the classification of malignant and benign masses via breast magnetic resonance imaging (BMRI). A breast segmentation method consisting of a preprocessing step to identify the air-breast interfacing boundary and curve fitting for chest wall line (CWL) segmentation was included in the proposed CAD system. The Chan...

Breast region segmentation is an essential prerequisite in computerised analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram and it includes two independent segmentations. The first segments the background region which usually contains annotations, labels and frames from the whole breast region, while the second removes the pectoral muscle portion...

Automatic segmentation of the whole breast in CT image is an essential task for treatment planning in breast cancer radiotherapy. Current procedure requires extensive manual contouring of the critical organs like breast, heart etc., which is time-consuming and subjective. Automatic breast segmentation is a hard problem due to the inhomogeneity of the breast tissue, large shape variation, abnorm...

Breast cancer is one of the leading causes of cancer death among women worldwide. In clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging and essential for cancer diagnosis and treatment planning. Many BUS segmentation approaches have been studied in the last two decades, and have been proved to be effective on private datasets. Currently, the advancement o...

Realistic modelling of breast deformation requires the breast tissue to be segmented into fibroglandular and fatty tissue and assigned suitable material properties. There are a number of breast tissue segmentation methods proposed and used in the literature. The purpose of this study was to validate and compare the accuracy of various segmentation methods and to investigate the effect of the ti...

Dermatomyositis (DM) is a rare idiopathic inflammatory myopathy with characteristic skin lesions. Case series have shown an association between dermatomyositis and malignancy. Malignancy has been found in 15-25% of the adult patients with dermatomyositis. A 50-year-old new case of breast cancer, was admitted with muscle weakness and inability to walk. Physical examination revealed fever, perior...