according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...

background: to reduce uncertainties of patient positioning, the computerized tomography (ct) images acquired at the treatment planning time can be compared with those images obtained during radiation dose delivery. this can be followed during dose delivery procedure as image guided radiotherapy (igrt) to verify the prescribed radiation dose delivery to the target as well as to monitor radiation...

Edges are a basic and fundamental feature in image processing, that used directly or indirectly huge amount of applications. Inspired by the expansion resolution processing power dilated convolution techniques appeared. Dilated have impressive results machine learning, we discuss here idea dilating standard filters which edge detection algorithms. In this work try to put together all our previo...

measurements of the tilt angle of potential fields can be a useful aid to their interpretation. there are several varieties of the methods in use, such as tilt angle, and the derivative of tilt angle. tilt angle filters are used for exact edge detection of the rectangular bodies artificially by writing a matlab code. the gravity effects of these models are computed by standard algorithms. the e...

in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sig...

Analysis and several common edge detection algorithm is improved, and put them in the original experiment results were compared with the results in this paper, we defined the new threshold, fully explained in this paper, we define the rationality and validity of the threshold value. Kirsch of traditional algorithm was improved, and improve the efficiency of the algorithm, and verify the rationa...

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