Recently, image processing technique and robotic vision are widely applied in fault detection of industrial products as well as document reading. In order to compare the captured images from the target, it is necessary to prepare a perfect image, then matching should be applied. A preprocessing must therefore, be done to correct the samples’ and or camera’s movement which can occur during the...

Recently, image processing technique and robotic vision are widely applied in fault detection of industrial products as well as document reading. In order to compare the captured images from the target, it is necessary to prepare a perfect image, then matching should be applied. A preprocessing must therefore, be done to correct the samples’ and or camera’s movement which can occur during the...

Introduction: Diabetic retinopathy (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to DR complications. This paper addresses the automatic detection of microaneurysms (MA...

The topic of High Performance Medical Image Computing for Image-Assisted Clinical Intervention and Decision-Making is central for imaging informatics, since the amount and complexity of imaging data continues to grow as new modalities are added to the radiological repertoire in an increasingly distributed (and often cloud-computing) environment. This top ic was the subject of the 2010 High Perf...

The primary objective of this study is to provide an extensive review deep learning techniques for medical image recognition, highlighting their potential improving diagnostic accuracy and efficiency. We systematically organize the paper by first discussing characteristics challenges imaging techniques, with a particular focus on magnetic resonance (MRI) computed tomography (CT). Subsequently, ...