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A Deep Learning-Based Ophthalmologic Approach for Retinal Fundus Image Analysis to Detect Glaucoma
Nahar, Lutfun
International Islamic University Chittagong, Chittagong, Bangladesh.
ORCID iD:
0000-0001-9925-3363
Hossain, Mohammad Shahadat
University of Chittagong, Chittagong, Bangladesh.
ORCID iD:
0000-0002-7473-8185
Das, Promi
International Islamic University Chittagong, Chittagong, Bangladesh.
Alam, Tanzeem
International Islamic University Chittagong, Chittagong, Bangladesh.
Andersson, Karl
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
ORCID iD:
0000-0003-0244-3561
Show others and affiliations
2022 (English)
In:
Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering: TCCE 2021 / [ed] M. Shamim Kaiser; Kanad Ray; Anirban Bandyopadhyay; Kavikumar Jacob; Kek Sie Long, Springer Nature, 2022, p. 519-532
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer Nature, 2022. p. 519-532
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 348
National Category
Ophthalmology Computer Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN:
urn:nbn:se:ltu:diva-89911
DOI:
10.1007/978-981-16-7597-3_43
Scopus ID:
2-s2.0-85126259752
OAI: oai:DiVA.org:ltu-89911
DiVA, id:
diva2:1648095
Conference
3rd International Conference on Trends in Cognitive Computation Engineering (TCCE 2021), Johor, Malaysia, October 21-22, 2021
Note
ISBN för värdpublikation: 978-981-16-7596-6, 978-981-16-7597-3
Available from:
2022-03-29
Created:
2022-03-29
Last updated:
2022-03-29
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Andersson, Karl
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