A Review on Neural Network Methodology for Diagnosis of Kidney Stone
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 119 | Views: 346

Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 11, November 2015 | Popularity: 6.7 / 10


     

A Review on Neural Network Methodology for Diagnosis of Kidney Stone

Sneha A Mane, S R Chougule


Abstract: Computerized Kidney Disease Detector is a system that detects abnormalities in kidney and gives a diagnosis of potential diseases. The system takes ultrasound images, blood test results from hospitals and laboratories. The system analyses inputted data and in turn give a highly accurate diagnosis. This system assists the medical staff in their diagnosis and allows them to save time in detecting small defects in the kidney.


Keywords: Kidney Stone, Neural network, Radial basis function, learning vector quantization, Multilayer back propagation


Edition: Volume 4 Issue 11, November 2015


Pages: 300 - 302



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Sneha A Mane, S R Chougule, "A Review on Neural Network Methodology for Diagnosis of Kidney Stone", International Journal of Science and Research (IJSR), Volume 4 Issue 11, November 2015, pp. 300-302, https://www.ijsr.net/getabstract.php?paperid=NOV151124, DOI: https://www.doi.org/10.21275/NOV151124

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