cancerous mass
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2020 ◽  
Author(s):  
AISDL

Breast cancer is the leading cause of death among women with cancer. Computer-aided diagnosis is an efficient method for assisting medical experts in early diagnosis, improving the chance of recovery. Employing artificial intelligence (AI) in the medical area is very crucial due to the sensitivity of this field. This means that the low accuracy of the classification methods used for cancer detection is a critical issue. This problem is accentuated when it comes to blurry mammogram images. In this paper, convolutional neural networks (CNNs) are employed to present the traditional convolutional neural network (TCNN) and supported convolutional neural network (SCNN) approaches. The TCNN and SCNN approaches contribute by overcoming the shift and scaling problems included in blurry mammogram images. In addition, the flipped rotation-based approach (FRbA) is proposed to enhance the accuracy of the prediction process (classification of the type of cancerous mass) by taking into account the different directions of the cancerous mass to extract effective features to form the map of the tumour. The proposed approaches are implemented on the MIAS medical dataset using 200 mammogram breast images. Compared to similar approaches based on KNN and RF, the proposed approaches show better performance in terms of accuracy, sensitivity, spasticity, precision, recall, time of performance, and quality of image metrics.


Author(s):  
Krzysztof Wielecki

Abstract In this article, I discuss the nature, causes and effects of the crisis of civilization which we can observe for over forty years. This crisis affects social order, with its economic, institutional and demographic dimensions, as well as the culture and the social structure. Here, I am particularly dealing with the question of human person and their relations with others, as well as the humanities. I show globalization, the growth of cancerous mass culture and secularization as a background of the crisis of civilization. In this context, I try to show the importance of Chiara Lubich and her work.


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