loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Paolo Andreini ; Simone Bonechi ; Monica Bianchini ; Andrea Garzelli and Alessandro Mecocci

Affiliation: University of Siena, Italy

ISBN: 978-989-758-173-1

Keyword(s): Image Classification, Automatic Urinoculture Screening, Urinary Tract Infections.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Medical Imaging ; Pattern Recognition ; Software Engineering

Abstract: Urinary Tract Infections (UTIs) are very common in women, babies and the elderly. The most frequent cause is a bacterium, called Escherichia Coli, which usually lives in the digestive system and in the bowel. Infections can target the urethra, bladder or kidneys. Traditional analysis methods, based on human experts’ evaluation, are typically used to diagnose UTIs, an error prone and lengthy process, whereas an early treatment of common pathologies is fundamental to prevent the infection spreading to kidneys. This paper presents an image based Automated Bacterial Load Estimator (ABLE) system for the urinoculture screening, that provides quick and traceable results for UTIs. Infections are accurately detected and the bacterial load is evaluated through image processing techniques. First, digital color images of the Petri dishes are automatically captured, and cleaned from noisily elements due to laboratory procedures, then specific spatial clustering algorithms are applied to isolate th e colonies from the culture ground and, finally, an accurate evaluation of the infection severity is performed. A dataset of 499 urine samples has been used during the experiments and the obtained results are fully discussed. The ABLE system speeds up the analysis, grants repeatable results, contributes to the process standardization, and guarantees a significant cost reduction. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.211.135.32

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Andreini, P.; Bonechi, S.; Bianchini, M.; Garzelli, A. and Mecocci, A. (2016). ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 573-580. DOI: 10.5220/0005687005730580

@conference{icpram16,
author={Paolo Andreini. and Simone Bonechi. and Monica Bianchini. and Andrea Garzelli. and Alessandro Mecocci.},
title={ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={573-580},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005687005730580},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening
SN - 978-989-758-173-1
AU - Andreini, P.
AU - Bonechi, S.
AU - Bianchini, M.
AU - Garzelli, A.
AU - Mecocci, A.
PY - 2016
SP - 573
EP - 580
DO - 10.5220/0005687005730580

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.