A smart phone-based robust correction algorithm for the colorimetric detection of Urinary Tract Infection

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Annual International Conference of the IEEE Engineering in Medicine and Biology Society

• Publication date

  2015-11-05

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/EMBC.2015.7318594PMID 26736494
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A full linear 3 × 3 color correction between images

  2015cited by this paper
• Development of the smartphone-based colorimetry for multi-analyte sensing arrays.

  2014cited by this paper
• A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests

  2014cited by this paper
• Mobile device-based self-referencing colorimeter for monitoring chlorine concentration in water

  2013cited by this paper
• Classification and quantitative optical analysis of liquid and solid samples using a mobile phone as illumination source and detector

  2013cited by this paper
• Quantum dot enabled detection of Escherichia coli using a cell-phone.

  2012cited by this paper
• The Image Processing Handbook , Sixth Edition, John C. Russ. CRC Press, Boca Raton FL, 2011, 972 pages. ISBN 1-4398-4045-0 (Hardcover)

  2011cited by this paper
• Mobile phone platform as portable chemical analyzer

  2011cited by this paper
• The urine dipstick test useful to rule out infections. A meta-analysis of the accuracy

  2004cited by this paper
• Epidemiology of urinary tract infections: incidence, morbidity, and economic costs.

  2002cited by this paper
• A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data

  2002cited by this paper
• A comparison of computational color constancy Algorithms. II. Experiments with image data

  2002cited by this paper
• The development of the CIE 2000 Colour Difference Formula

  2001cited by this paper
• Issues in urinary tract infections in the elderly

  1999influential reference
• Comprehensive Colour Image Normalization

  1998influential reference
• Color Normalization and Object Localization

  1998cited by this paper
• Color constancy - Generalized diagonal transforms suffice

  1994cited by this paper

• Innovative Biosensor Technologies in the Diagnosis of Urinary Tract Infections: A Comprehensive Literature Review

  2024cites this paper
• Semiquantitative Determination of Thiocyanate in Saliva Through Colorimetric Assays: Design of CNN Architecture via Input-Aware NAS

  2023cites this paper
• Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care

  2022cites this paper
• Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care

  2022cites this paper
• Assessing the Accuracy of Nitrate Concentration Data for Water Quality Monitoring Using Visual and Cell Phone Quantification Methods

  2021cites this paper
• Colorimetric system for paper-based assays

  2019cites this paper
• Battery-Less Smart Diaper Based on NFC Technology

  2019cites this paper
• Identification of Biomarkers with Different Classifiers in Urine Test*

  2018cites this paper
• Smartphone‐based clinical diagnostics: towards democratization of evidence‐based health care

  2018cites this paper
• Machine learning based smartphone spectrometer for harmful dyes detection in water

  2018cites this paper
• Smartphone-Based Rapid Screening of Urinary Biomarkers

  2017cites this paper
• Colorimetric recognition for urinalysis dipsticks based on quadratic discriminant analysis.

  2017cites this paper
• Colorimetric recognition for urinalysis dipsticks based on quadratic discriminant analysis

  2017cites this paper
• Illumination and device independence for colorimetric detection of urinary biomarkers with smartphone.

  2016cites this paper
• Illumination and device independence for colorimetric detection of urinary biomarkers with smartphone

  2016cites this paper