Background: The gold standard for gastric cancer detection is histopathological image analysis, but there are certain drawbacks in the existing and diagnosis. Method: In this paper, based on study of computer-aided diagnosis (CAD) system, graph-based features applied to histopathology microscopic a classifier used classify cells from benign cells. Firstly, segmentation performed. After finding ...

Corona virus disease 2019 (COVID-19), a viral infection that was discovered at the end of December in Wuhan, China. The spread and transmission this is very fast even to all countries world. Meanwhile, Acute Respiratory Distress Syndrome (ARDS) an emergency condition field pulmonology occurs due fluid accumulation alveoli causes gas exchange disorders so oxygen distribution tissues were reduced...

The detection of moving object is important in many tasks, such as video surveillance and moving object tracking. Although there are some methods for the moving object detection, it is still a challenging area. In this paper, a new method which combines the Kirsch operator with the Optical Flow method (KOF) is proposed. On the one hand, the Kirsch operator is used to compute the contour of the ...

Aims There is an unmet need to find new biomaterials that can augment bone regeneration at the fracture site. In parallel, novel strategies for bone tissue engineering need to be tested in the context of blood vessel supply as this is a critical requirement for bone formation 1 . This typically involves the use of in vivo research as a prediction tool for the potential clinical outcome. However...

Image thresholding is used to segment an image into background and foreground using a given threshold. The threshold can be generated specific algorithm instead of pre-defined value obtained from observation or experiment. However, the involves per pixel operation, histogram calculation, iterative procedure search optimum that costly for high-resolution images. In this research, parallel implem...

In applications involving visual inspection, it is often required to separate objects from background, in conditions of poor and nonuniform illumination. In such cases one has to rely on adaptive methods that learn the illumination from the given images and base the Object background decision on this information. We here present a new method for image segmentation via based on clustering. One c...

In order to accurately extract the endocardium and epicardium of the left ventricle from cardiac magnetic resonance (MR) images, a method based on developed Otsu and dynamic programming has been proposed. First, regions with high gray value are divided into several left ventricle candidate regions by the developed Otsu algorithm, which based on constraining the search range of the ideal segment...

Canny algorithm can be used in extracting the object’s contour clearly by setting the appropriate parameters. The Otsu algorithm can calculate the high threshold value which is significant to the Canny algorithm, and then this threshold value can be used in the Canny algorithm to detect the object’s edge. From the exprimental result, the Otsu algorithm can be applied in choosing the threshold v...

Interacting with physical world using expressive body movements is much easier and effective than just speaking. Gesture recognition turns up to be important field in the recent years. Communication through gestures has been used since early ages not only by physically challenged persons but nowadays for many other applications. As most predominantly hand is use to perform gestures, Hand Gestur...

The analysis of Her-2/neu status is an effective indicator for the diagnosis of several types of breast carcinomas. Conventional evaluation is a difficult task since it involves manual counting of dots in multiple fluorescent in situ hybridization (FISH) images. In this paper we present a multistage algorithm for the automated evaluation of Her-2/neu status by the analysis of FISH images from b...