Fuzzy Inference of the Effectiveness Factors of The Computational Model for the Diagnosis of Breast Cancer

Author(s):  
Ilya Germashev ◽  
Victoria Dubovskaya ◽  
Alexander Losev ◽  
Illarion Popov
Author(s):  
Fuzhang Wang ◽  
Qurat Ul Ain Azim ◽  
João Manuel R.S. Tavares ◽  
Ayesha Sohail ◽  
Alessandro Nutini ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
R. Ortega-Palacios ◽  
C. J. Trujillo-Romero ◽  
M. F. J. Cepeda Rubio ◽  
A. Vera ◽  
L. Leija ◽  
...  

Microwave ablation (MWA) by using coaxial antennas is a promising alternative for breast cancer treatment. A double short distance slot coaxial antenna as a newly optimized applicator for minimally invasive treatment of breast cancer is proposed. To validate and to analyze the feasibility of using this method in clinical treatment, a computational model, phantom, and breast swine in vivo experimentation were carried out, by using four microwave powers (50 W, 30 W, 20 W, and 10 W). The finite element method (FEM) was used to develop the computational model. Phantom experimentation was carried out in breast phantom. The in vivo experimentation was carried out in a 90 kg swine sow. Tissue damage was estimated by comparing control and treated micrographs of the porcine mammary gland samples. The coaxial slot antenna was inserted in swine breast glands by using image-guided ultrasound. In all cases, modeling, in vivo and phantom experimentation, and ablation temperatures (above 60°C) were reached. The in vivo experiments suggest that this new MWA applicator could be successfully used to eliminate precise and small areas of tissue (around 20–30 mm2). By modulating the power and time applied, it may be possible to increase/decrease the ablation area.


2010 ◽  
Vol 20 (2) ◽  
pp. 192-200 ◽  
Author(s):  
F. C. Fernandes ◽  
L. M. Brasil ◽  
J. M. Lamas ◽  
R. Guadagnin

Author(s):  
F. M. Okikiola ◽  
E. E. Aigbokhan ◽  
A. M. Mustapha ◽  
I. O. Onadokun ◽  
O. A. Akinade

The death rate is caused by breast cancer in women is increasingly high and growing. A number of people are getting to lose this part of their body due to late diagnosis of this disease. This therefore requires the development of an efficient and accurate diagnosis approach that will aid providing the knowledge of the type of breast cancer type and severity in order to reduce the mortality rate through the disease. This need serves as the major motivation for this work. In this paper, we proposed a fuzzy expert system for diagnosis of and treatment recommendation of breast cancer problems which provide physicians and patients with information of the cancer type and treatment recommendation. The application was designed using JAVA programming language, MATLAB and SQLite database engine. This application permits update of new information as a means of knowledge. The evaluation showed that the inclusion of the fuzzy inference system improved the accuracy and precision of the system from 0.8 to 0.9. The system is user-friendly and has high level of acceptability from the validation conducted at the end of the research.


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