Titlebook: Computational Intelligence in Healthcare; Amit Kumar Manocha,Shruti Jain,Sudip Paul Book 2021 The Editor(s) (if applicable) and The Author

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Feature Extraction Using GLSM for DDSM Mammogram Images, nearly opaque. If cancer is diagnosed early by using breast self-examination (BSE) and clinical breast examination (CBE) at 40–49 years of age, the survival rate of breast cancer reaches 100 per cent. New strategies named CAD (computer-assisted diagnosis) programmes for early detection utilising mu

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Deep Learning-Based Techniques to Identify COVID-19 Patients Using Medical Image Segmentation,al world from digital images or videos. In terms of engineering, it seeks to automate tasks that the human vision system can do. This paper is based on one specific task in computer vision called as image segmentation. Even though researchers have come up with various methods to solve this problem,

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Gilbert Probst,Christian Wiedemannues, real-time interactive modes, remote monitoring, and the use of smartphones for healthcare services like mHealth. The application of telemedicine in healthcare services is extensive and includes but is not limited to teleradiology, telesurgery, telepsychiatry, etc. As beneficial as it can get, t

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,Ausgangslage unternehmerischer Führung, electric motor associated with it. The mechanical and electrical parameters of the electric motor is based on the manufacturer specification, further based on these values the control design with Proportional Integral Derivative (PID) controller, PID control with Particle Swarm Optimization (PSO),