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International Journal of Scientific and Research Publications

IJSRP, Volume 10, Issue 9, September 2020 Edition [ISSN 2250-3153]


Artificial Intelligence based analysis to evaluate for RBC cells, Pus cells and Calcium Oxalate crystals in Urine sediment slide microscopy: A pilot study in North India
      Ankit Agrawal, BDS; Shelley Saxena, B.E., MBA
Abstract: Introduction: Microscopy is the simplest and the most important step in the diagnosis of infections (urinary tract, kidney, prostate), sexual transmitted infections (STI), kidney or bladder stones, hemophilia, interstitial cystitis, bacteremia with sepsis, prostatitis and parasites. But the microscopy requires considerable experience and is bound to have human errors. Artificial intelligence (AI) based microscopy can be an answer to this problem

Reference this Research Paper (copy & paste below code):

Ankit Agrawal, BDS; Shelley Saxena, B.E., MBA (2020); Artificial Intelligence based analysis to evaluate for RBC cells, Pus cells and Calcium Oxalate crystals in Urine sediment slide microscopy: A pilot study in North India ; International Journal of Scientific and Research Publications (IJSRP) 10(09) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.09.2020.p10564
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