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Caleb Kumar

Designing and Validating a Java Program to Diagnose Bladder Cancer

Blaine, MN
Grade 12

kumar

Designing and Validating a Java Program to Diagnose Bladder Cancer

I developed JAVA software to diagnose bladder cancer from urine cytology images. First, I wrote algorithms to determine size, color and curvature of cancerous and benign cells in bladder-cell images. Second, I developed software that defines and then compares characteristics of undiagnosed cell images to pre-classified images. Validation of my software showed accuracy of 99.8% in identifying suspicious bladder cells and accuracy of 87.1% and 92.2% for differentiating normal from abnormal bladder cells, respectively. Holistically, accuracy of my software was deemed as "good" according to a kappa method defined by Altman (1991). A diagnosis for a single bladder-cell image takes less than ten seconds.

 

   
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The National Gallery for America's Young Inventors ™ is the only nationally recognized hall of fame for student inventors, established in 1993 and given permission by the adult National Inventors Hall of Fame Board in Washington, D.C. to archive and enshrine great student inventions and inventors K-12.


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