Automated analysis and investigation of digital microscopic images of urine sediments for detection and classification of urinary particles

dc.contributor.guideBrindha D
dc.coverage.spatialAutomated analysis and investigation of digital microscopic images of urine sediments for detection and classification of urinary particles
dc.creator.researcherSuhail K
dc.date.accessioned2025-11-17T04:22:17Z
dc.date.available2025-11-17T04:22:17Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered
dc.description.abstractThe kidney and urinary tract related problems are the most commonly diagnosed diseases globally in an annum. There is a large surge is identified in the spreading of various kidney and urinary tract abnormalities such as UTIs, kidney stones, bladder inflammations, glomerulonephritis, etc. The timely detection and treatment of such abnormalities are very important for the patients who is suffering such diseases. The microscopic analysis of urine sediments is the widely used technique for the early identification of kidney or urinary tract abnormalities. The existence of various microscopic particles such as erythrocytes, leukocytes, crystals, casts, bacteria, yeast, epithelial cells, etc in the urine sediment are the indication for various diseases related to kidney and ariary tract. newlineThe traditional method used for the analysis of urine sediment examination was centrifugation, in which the urine sediments are collected in a centrifuge to find the particles manually by a clinical expert. This approach is time and effort intensive and it requires high volume laboratories to perform the task. The automated microscopic examination is performed to address the cons associated with the manual examination by utilizing digital microscopic urine sediment images. newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxviii,164p.
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/673794
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.147-163
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordDigital Microscopic Images
dc.subject.keywordUrine Sediments
dc.subject.keywordYOLO algorithms
dc.titleAutomated analysis and investigation of digital microscopic images of urine sediments for detection and classification of urinary particles
dc.title.alternative
dc.type.degreePh.D.

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