Metastases to the mammary gland are an uncommon event in the natural history of most malignant tumors. We report the case of a 60-year-old woman who presented initially with bifocal urothelial carcinoma with a single breast tumor, raising the issue of a primary cancer or a metastatic spread to the breast. The diagnosis of breast metastasis was aided by identity of pathology, immunochemistry, an...

Automatically measuring lesion/tumor size with RECIST (Response Evaluation Criteria In Solid Tumors) diameters and segmentation is important for computer-aided diagnosis. Although it has been studied in recent years, there still space to improve its accuracy robustness, such as (1) enhancing features by incorporating rich contextual information while keeping a high spatial resolution (2) involv...

We have developed a family of quantitative descriptors in order to provide noninvasive, reliable means of distinguishing benign from malignant breast lesions. These include acoustic descriptors (“echogenicity,” “heterogeneity,” “shadowing”) and morphometric descriptors (“area,” “aspect ratio,” “border irregularity,” “margin definition”). These quantitative descriptors are designed to be indepen...

Schwannomas are benign slow growing tumors that arise from the Schwann cells of any nerve (peripheral, cranial or autonomic). It also called nerilemmona,neurinoma spindle cell tumor etc. Extra cranial Head and Neck schwannomas usually present as solitary and well demarcated lesions. The lesion can cause secondary symptoms such as nasal obstruction,dysphagia and hoarseness, depending upon the lo...

In a computer-aided system for skin cancer diagnosis, hair removal is one of the main challenges to face before applying process automatic lesion segmentation and classification. this paper, we propose straightforward method detect remove from dermoscopic images. Preliminarily, regions consider as candidate border/corner components located on image frame are automatically detected. Then, determ...

Segmentation is one of the crucial steps for the computer-aided diagnosis (CAD) of skin cancer with dermoscopy images. To accurately extract lesion borders from dermoscopy images, a novel automatic segmentation algorithm using saliency combined with Otsu threshold is proposed in this paper, which includes enhancement and segmentation stages. In the enhancement stage, prior information on health...

Breast cancer continues to be a significant public health problem among women around the world. It has become the number one cause of cancer deaths amongst Malaysian women. The key to improve the breast cancer prognosis is by early detection. The important sign for the breast cancer detection is the presence of lesion such as microcalcification clusters (MCCs). In this review paper, the mammogr...

elanoma is a cancerous lesion in the pigment-bearing basal layers of the epidermis and is the most deadly form of skin cancer, yet it is also the most treatable, with a cure rate for early-stage melanoma of almost 100%. Therefore, there is a need to develop computer-aided diagnostic systems to facilitate the early detection of melanoma. The first step in these systems is skin lesion segmentatio...

Introduction: Breast cancer is the second cause of mortality among women. Early detection is the only rescue to reduce the risk of breast cancer mortality. Traditional methods cannot effectively diagnose tumor since they are based on the assumption of well-balanced dataset.. However, a hybrid method can help to alleviate the two-class imbalance problem existing in the ...

An application of an unsupervised neural network-based computer-aided diagnosis (CAD) system is reported for the detection and characterization of small indeterminate breast lesions, average size 1.1 mm, in dynamic contrast-enhanced MRI. This system enables the extraction of spatial and temporal features of dynamic MRI data and additionally provides a segmentation with regard to identification ...