Recognition of hard exudates using Deep Learning

Wilver Auccahuasi; Edward Flores; Fernando Sernaque; Juanita Cueva; Monica Diaz; Elizabeth Oré

doi:10.1016/j.procs.2020.03.287

Recognition of hard exudates using Deep Learning

Wilver Auccahuasi
, Edward Flores
, Fernando Sernaque
, Juanita Cueva
, Monica Diaz
, Elizabeth Oré

Research output: Contribution to journal › Conference article › peer-review

23 Scopus citations

Original language	English
Pages (from-to)	2343-2353
Number of pages	11
Journal	Procedia Computer Science
Volume	167
DOIs	https://doi.org/10.1016/j.procs.2020.03.287
State	Published - 1 Jan 2020
Externally published	Yes
Event	2019 International Conference on Computational Intelligence and Data Science, ICCIDS 2019 - Gurugram, India Duration: 6 Sep 2019 → 7 Sep 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.procs.2020.03.287

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@article{52a7d5bd93aa40f5922f384bdd7c4286,

title = "Recognition of hard exudates using Deep Learning",

keywords = "Diabetes Mellitus, features, images, processing, retinography, segmentation",

author = "Wilver Auccahuasi and Edward Flores and Fernando Sernaque and Juanita Cueva and Monica Diaz and Elizabeth Or{\'e}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Published by Elsevier B.V.; 2019 International Conference on Computational Intelligence and Data Science, ICCIDS 2019 ; Conference date: 06-09-2019 Through 07-09-2019",

year = "2020",

month = jan,

day = "1",

doi = "10.1016/j.procs.2020.03.287",

language = "English",

volume = "167",

pages = "2343--2353",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Recognition of hard exudates using Deep Learning

AU - Auccahuasi, Wilver

AU - Flores, Edward

AU - Sernaque, Fernando

AU - Cueva, Juanita

AU - Diaz, Monica

AU - Oré, Elizabeth

PY - 2020/1/1

Y1 - 2020/1/1

KW - Diabetes Mellitus

KW - features

KW - images

KW - processing

KW - retinography

KW - segmentation

UR - https://www.scopus.com/pages/publications/85084467173

U2 - 10.1016/j.procs.2020.03.287

DO - 10.1016/j.procs.2020.03.287

M3 - Conference article

AN - SCOPUS:85084467173

SN - 1877-0509

VL - 167

SP - 2343

EP - 2353

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 2019 International Conference on Computational Intelligence and Data Science, ICCIDS 2019

Y2 - 6 September 2019 through 7 September 2019

ER -

Recognition of hard exudates using Deep Learning

UN SDGs

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