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Identify glomeruli in human kidney tissue images using a deep learning approach

Healthcare is the most important need of today�s era. Healthcare refers to the improvement of the human health by preventing, curing, diagnosing, recovering from a health hazard caused. Thus, to improve the health condition of a human system technology, such as machine learning, deep learning and...

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Main Authors: Shubham, S., Jain, N., Gupta, V., Mohan, S., Ariffin, M.M., Ahmadian, A.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113284677&doi=10.1007%2fs00500-021-06143-z&partnerID=40&md5=bf77941252d9ad7403cccbb61e8c5ca4
http://eprints.utp.edu.my/29453/
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spelling my.utp.eprints.294532022-03-25T02:07:08Z Identify glomeruli in human kidney tissue images using a deep learning approach Shubham, S. Jain, N. Gupta, V. Mohan, S. Ariffin, M.M. Ahmadian, A. Healthcare is the most important need of today�s era. Healthcare refers to the improvement of the human health by preventing, curing, diagnosing, recovering from a health hazard caused. Thus, to improve the health condition of a human system technology, such as machine learning, deep learning and artificial intelligence has come into play. The combination of artificial technology with the health sector has made a huge impact and success on the world. Curing millions of diseases, analysis of various infections, providing accurate test results and high-level maintenance check are now all possible with the evolution of technology. Every part of human body can now be diagnosed and analyze to study all kinds of tissues, blood vessels, organs, cells for improvement of health and curing of diseases. Research sector has been working with a continuous pace to accomplish various studies to identify different body organs and have a descriptive study for the identification of proper working mechanism of the human body. One such study has also shown a huge progress in the recent times, the identification of glomeruli in human kidney tissue. The tiny ball like structured which is composed of blood vessels that has an actively participation in the filtration of the blood to form urine. Thus, the paper presents a deep learning-based model formed for the identification of these glomeruli present in the human kidney. After implementing, the proposed model obtained an accuracy of 99.68 with a dice coefficient of 0.9060. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. Springer Science and Business Media Deutschland GmbH 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113284677&doi=10.1007%2fs00500-021-06143-z&partnerID=40&md5=bf77941252d9ad7403cccbb61e8c5ca4 Shubham, S. and Jain, N. and Gupta, V. and Mohan, S. and Ariffin, M.M. and Ahmadian, A. (2021) Identify glomeruli in human kidney tissue images using a deep learning approach. Soft Computing . http://eprints.utp.edu.my/29453/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Healthcare is the most important need of today�s era. Healthcare refers to the improvement of the human health by preventing, curing, diagnosing, recovering from a health hazard caused. Thus, to improve the health condition of a human system technology, such as machine learning, deep learning and artificial intelligence has come into play. The combination of artificial technology with the health sector has made a huge impact and success on the world. Curing millions of diseases, analysis of various infections, providing accurate test results and high-level maintenance check are now all possible with the evolution of technology. Every part of human body can now be diagnosed and analyze to study all kinds of tissues, blood vessels, organs, cells for improvement of health and curing of diseases. Research sector has been working with a continuous pace to accomplish various studies to identify different body organs and have a descriptive study for the identification of proper working mechanism of the human body. One such study has also shown a huge progress in the recent times, the identification of glomeruli in human kidney tissue. The tiny ball like structured which is composed of blood vessels that has an actively participation in the filtration of the blood to form urine. Thus, the paper presents a deep learning-based model formed for the identification of these glomeruli present in the human kidney. After implementing, the proposed model obtained an accuracy of 99.68 with a dice coefficient of 0.9060. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
format Article
author Shubham, S.
Jain, N.
Gupta, V.
Mohan, S.
Ariffin, M.M.
Ahmadian, A.
spellingShingle Shubham, S.
Jain, N.
Gupta, V.
Mohan, S.
Ariffin, M.M.
Ahmadian, A.
Identify glomeruli in human kidney tissue images using a deep learning approach
author_facet Shubham, S.
Jain, N.
Gupta, V.
Mohan, S.
Ariffin, M.M.
Ahmadian, A.
author_sort Shubham, S.
title Identify glomeruli in human kidney tissue images using a deep learning approach
title_short Identify glomeruli in human kidney tissue images using a deep learning approach
title_full Identify glomeruli in human kidney tissue images using a deep learning approach
title_fullStr Identify glomeruli in human kidney tissue images using a deep learning approach
title_full_unstemmed Identify glomeruli in human kidney tissue images using a deep learning approach
title_sort identify glomeruli in human kidney tissue images using a deep learning approach
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113284677&doi=10.1007%2fs00500-021-06143-z&partnerID=40&md5=bf77941252d9ad7403cccbb61e8c5ca4
http://eprints.utp.edu.my/29453/
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score 13.211869

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