The aim of this study was to check the applicability of tissue counter analysis (TCA) to the discrimination of benign common nevi and malignant melanoma lesions. TCA is based on the partition of the image into square elements of equal size where the features, are calculated out of each square element. The features, based on grey level histogram and co-occurrence matrix, allow the differentiatio...

Many computer aided diagnosis (CAD) problems can be best modelled as a multiple-instance learning (MIL) problem with unbalanced data: i.e. , the training data typically consists of a few positive bags, and a very large number of negative instances. Existing MIL algorithms are much too computationally expensive for these datasets. We describe CH, a framework for learning a Convex Hull representa...

This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in ord...

Developing a Computer Aided Diagnosis (CAD) system for Breast Ultrasound (BUS) is a high exigent work in medical imaging analysis systems. BUS detects abnormalities or suspicious regions accurately that is misspelled by mammogram, and helps to find the varying degrees of malignancy. Extracting discriminating features in CAD is a most prominent task that results in good diagnosis. This study ana...

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 (...