the ultimate goal of power system operation and planning is to increase power system reliability which enforces interconnected operation of power system. as a result of power system interconnection, the inter-area oscillation under different disturbances may cause power system partial or total blackout. dc-segmentation of interconnected power systems is a solution in which the topology of the n...

computer-aided diagnosis (cad) systems can assist radiologists in several diagnostic tasks.  lung segmentation is one of the mandatory steps for initial detection of lung cancer in posterior-anterior chest radiographs. on the other hand, many cad schemes in projection chest radiography may benefit from the suppression of the bony structures that overlay the lung fields, e.g. ribs. the original ...

Colorectal cancer (CRC) is the second leading cause of cancer-related death worldwide. Excision polyps during colonoscopy helps reduce mortality and morbidity for CRC. Powered by deep learning, computer-aided diagnosis (CAD) systems can detect regions in colon overlooked physicians colonoscopy. Lacking high accuracy real-time speed are essential obstacles to be overcome successful clinical inte...

Background: Mechanical occlusion of the Left atrial appendage (LAA) using a purpose-built device has emerged as an effective prophylactic treatment in patients with atrial fibrillation at risk of stroke and a contraindication for anticoagulation. A crucial step in procedural planning is the choice of the device size. This is currently based on the manual analysis of the “Device Landing Zone” fr...

image segmentation is an important task in image processing and computer vision which attract many researchers attention. there are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. markov random field (mrf) is a tool for modeling statistical and structural inf...

background: nowadays, analyzing human facial image has gained ever-increasing importance due to its various applications. image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. methods: among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness a...

The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. This paper analyzes and summarizes these algorithms of image segmentat...

  Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the model have estimated by EM-algorithm.   In addition pixel labeling corresponded to each pixel of true image is made by Bayes rule. In fact, ...