Screening mammography is the most effective tool for early detection of breast cancer. In this procedure, radiologists scan x-ray images of the breast to locate signs of breast cancer. However it is not perfect and has low sensitivity for detection and low specificity for diagnosis. Various computer aided detection (CAD) and diagnosis (CADx) systems have been developed to aid radiologists. In t...

Uterine cervical cancer is the second most common cancer among women worldwide. Colposcopy is a diagnostic method, whereby a physician (colposcopist) visually inspects the lower genital tract (cervix, vulva and vagina), with special emphasis on the subjective appearance of metaplastic epithelium comprising the transformation zone on the cervix. Cervical cancer precursor lesions and invasive can...

Professionals of the medical radiology area depend directly on the process of decision making in their daily activities. This process is mainly based on the analysis of a great amount of information obtained for the evaluation of radiographic images. Some studies demonstrate the great capacity of Artificial Neural Networks (ANN) in support systems for diagnosis, mainly in applications as patter...

This paper presents an automatic application that provides several retinal image analysis functionalities, namely vessel segmentation, vessel width estimation, artery/vein classification and optic disc segmentation. A pipeline of these methods allows the computation of important vessel related indexes, namely the Central Retinal Arteriolar Equivalent (CRAE), Central Retinal Venular Equivalent (...

Molecular modeling is a set of computational techniques for construction of 3D structure of a protein especially membrane bound proteins whose structures can not be elucidated using experimental techniques. These techniques has been applied in the study of membrane metalloproteases for comparing wild and mutated enzymes, docking inhibitors in the catalytic site and examination of binding pocket...

introduction: the aim of this study was to identify the reasons for failure in clinical, radiographic, and histopathologic diagnoses as well as their interactions with each other. methods: personal information and lesion characteristics of 51 patients with central or peripheral exophytic lesions were collected in mashhad dental school. specialists determined clinical and radiographic diagnoses ...

Universal Lesion Detection (ULD) in computed tomography plays an essential role computer-aided diagnosis. Promising ULD results have been reported by multi-slice-input detection approaches which model 3D context from multiple adjacent CT slices, but such methods still experience difficulty obtaining a global representation among different slices and within each individual slice since they only ...

Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variations of lesion appearances across different patients. This challenge is further exacerbated when dealing with a large amount of image data. In this paper, we extended our previous work by developing a deeper network arc...

Breast lesion boundaries have been mostly extracted by using conventional approaches as a previous step in the development of computer-aided diagnosis systems. Among these, region growing is a frequently used segmentation method. To make the segmentation completely automatic, most of the region growing methods incorporate automatic selection of the seed points. This paper proposes a new automat...

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...