Computer aided image analysis systems for radiographic inspection (X-ray or gamma ray) are among the most commonly used Non-destructive Evaluation (NDE) methods. The accuracy of these systems is very much depending on the selected features which are extracted from weld defect images. In this paper, we firstly introduce a computer aided image analysis system for X-ray image inspection and evalua...

1. student research committee, urmia university of medical sciences, urmia, iran 2. dept. of medical physics, faculty of medicine, urmia university of medical sciences, urmia, iran 3. dept. of radiology, faculty of medicine, imam khomeini hospital, urmia university of medical sciences, urmia, iran                             corresponding author: akbar gharbali, phd; assistant professor of medi...

Tissue characterization has long been an important component of Computer Aided Diagnosis (CAD) systems for automatic lesion detection and further clinical planning. Motivated by the superior performance of deep learning methods on various computer vision problems, there has been increasing work applying deep learning to medical image analysis. However, the development of a robust and reliable d...

Prognostic factors, such as estrogen or progesterone visualized in breast cancer biopsy slides, are crucial in the determination of the prognosis and subsequent treatment of a patient. However, the assessment of prognostic factors in biopsy slides and the comparison of results is difficult. Both manual and computer-aided assessment schemes are affected by error inducing variabilities. Moreover,...

objective(s): bonenavi, a computer-aided diagnostic system, is used in bone scintigraphy. this system provides the artificial neural network (ann) and bone scan index (bsi) values. ann is associated with the possibility of bone metastasis, while bsi is related to the amount of bone metastasis. the degree of uptake on bone scintigraphy can be affected by the type of bone metastasis. therefore, t...