A frugal technological model for leukemia detection using digital microscopy

Juan López Prieto; Miguel Purizaca Pérez; Jimmy Armas Aguirre; Paola A. Gonzalez

doi:10.18687/LACCEI2019.1.1.345

A frugal technological model for leukemia detection using digital microscopy

Juan López Prieto, Miguel Purizaca Pérez, Jimmy Armas Aguirre, Paola A. Gonzalez

Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose a low-cost technological model for optimizing the detection process of leukemia using digital microscopy. The model is targeted to be used in remote areas in developing countries where availability of resources is an issue. This model applies the canny algorithm on a bank of images of normal and abnormal microscopic cells. The proposed model includes the capture, digitization, and analysis of microscopic samples, Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was preliminary validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao, Lima, Peru. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained. This results aims to provide an additional and accurate tool to detection of potential leukemia.

Original language	English
Title of host publication	17th LACCEI International Multi-Conference for Engineering, Education, and Technology
Subtitle of host publication	"Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9780999344361
DOIs	https://doi.org/10.18687/LACCEI2019.1.1.345
Publication status	Published - 2019
Event	17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 - Montego Bay, Jamaica Duration: Jul 24 2019 → Jul 26 2019

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2019-July
ISSN (Electronic)	2414-6390

Conference

Conference	17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019
Country/Territory	Jamaica
City	Montego Bay
Period	7/24/19 → 7/26/19

Bibliographical note

Publisher Copyright:
© 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

ASJC Scopus Subject Areas

Engineering (miscellaneous)
Education

Access to Document

10.18687/LACCEI2019.1.1.345

Cite this

Prieto, J. L., Pérez, M. P., Aguirre, J. A., & Gonzalez, P. A. (2019). A frugal technological model for leukemia detection using digital microscopy. In 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2019-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2019.1.1.345

A frugal technological model for leukemia detection using digital microscopy. / Prieto, Juan López; Pérez, Miguel Purizaca; Aguirre, Jimmy Armas et al.
17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Latin American and Caribbean Consortium of Engineering Institutions, 2019. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Prieto, JL, Pérez, MP, Aguirre, JA & Gonzalez, PA 2019, A frugal technological model for leukemia detection using digital microscopy. in 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2019-July, Latin American and Caribbean Consortium of Engineering Institutions, 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019, Montego Bay, Jamaica, 7/24/19. https://doi.org/10.18687/LACCEI2019.1.1.345

Prieto JL, Pérez MP, Aguirre JA, Gonzalez PA. A frugal technological model for leukemia detection using digital microscopy. In 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Latin American and Caribbean Consortium of Engineering Institutions. 2019. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2019.1.1.345

Prieto, Juan López ; Pérez, Miguel Purizaca ; Aguirre, Jimmy Armas et al. / A frugal technological model for leukemia detection using digital microscopy. 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Latin American and Caribbean Consortium of Engineering Institutions, 2019. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{e04279af4d6d40d9a90247360e82cb78,

title = "A frugal technological model for leukemia detection using digital microscopy",

abstract = "In this paper, we propose a low-cost technological model for optimizing the detection process of leukemia using digital microscopy. The model is targeted to be used in remote areas in developing countries where availability of resources is an issue. This model applies the canny algorithm on a bank of images of normal and abnormal microscopic cells. The proposed model includes the capture, digitization, and analysis of microscopic samples, Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was preliminary validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao, Lima, Peru. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained. This results aims to provide an additional and accurate tool to detection of potential leukemia.",

author = "Prieto, {Juan L{\'o}pez} and P{\'e}rez, {Miguel Purizaca} and Aguirre, {Jimmy Armas} and Gonzalez, {Paola A.}",

note = "Publisher Copyright: {\textcopyright} 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 ; Conference date: 24-07-2019 Through 26-07-2019",

year = "2019",

doi = "10.18687/LACCEI2019.1.1.345",

language = "English",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

publisher = "Latin American and Caribbean Consortium of Engineering Institutions",

booktitle = "17th LACCEI International Multi-Conference for Engineering, Education, and Technology",

}

TY - GEN

T1 - A frugal technological model for leukemia detection using digital microscopy

AU - Prieto, Juan López

AU - Pérez, Miguel Purizaca

AU - Aguirre, Jimmy Armas

AU - Gonzalez, Paola A.

PY - 2019

Y1 - 2019

N2 - In this paper, we propose a low-cost technological model for optimizing the detection process of leukemia using digital microscopy. The model is targeted to be used in remote areas in developing countries where availability of resources is an issue. This model applies the canny algorithm on a bank of images of normal and abnormal microscopic cells. The proposed model includes the capture, digitization, and analysis of microscopic samples, Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was preliminary validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao, Lima, Peru. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained. This results aims to provide an additional and accurate tool to detection of potential leukemia.

AB - In this paper, we propose a low-cost technological model for optimizing the detection process of leukemia using digital microscopy. The model is targeted to be used in remote areas in developing countries where availability of resources is an issue. This model applies the canny algorithm on a bank of images of normal and abnormal microscopic cells. The proposed model includes the capture, digitization, and analysis of microscopic samples, Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was preliminary validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao, Lima, Peru. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained. This results aims to provide an additional and accurate tool to detection of potential leukemia.

UR - http://www.scopus.com/inward/record.url?scp=85073589430&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073589430&partnerID=8YFLogxK

U2 - 10.18687/LACCEI2019.1.1.345

DO - 10.18687/LACCEI2019.1.1.345

M3 - Conference contribution

AN - SCOPUS:85073589430

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - 17th LACCEI International Multi-Conference for Engineering, Education, and Technology

PB - Latin American and Caribbean Consortium of Engineering Institutions

T2 - 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019

Y2 - 24 July 2019 through 26 July 2019

ER -

A frugal technological model for leukemia detection using digital microscopy

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

Other files and links

Fingerprint

Cite this