Automatic fracture detection in hand bone using MATLAB and image processing

Rapidly discovering the possible technological advantages are evolving every day in distinct fields, especially in the clinical circumstances. Be that as it may, in any case, some existing methods are very mainstream, productive and compelling. X-rays enforces methods for analyzing the locations of...

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Main Authors: Gowtham Naidu, D., Puviarasi, R., Ramalingam, Mritha
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42435/1/Automatic%20fracture%20detection%20in%20hand%20bone%20using%20MATLAB.pdf
http://umpir.ump.edu.my/id/eprint/42435/2/Automatic%20fracture%20detection%20in%20hand%20bone%20using%20MATLAB%20and%20image%20processing_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42435/
https://doi.org/10.1109/ICISS49785.2020.9316009
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spelling my.ump.umpir.424352024-10-30T04:45:25Z http://umpir.ump.edu.my/id/eprint/42435/ Automatic fracture detection in hand bone using MATLAB and image processing Gowtham Naidu, D. Puviarasi, R. Ramalingam, Mritha QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Rapidly discovering the possible technological advantages are evolving every day in distinct fields, especially in the clinical circumstances. Be that as it may, in any case, some existing methods are very mainstream, productive and compelling. X-rays enforces methods for analyzing the locations of bone breaks. All things considered in some cases, the size about division inset remains more critical and also it could not stay identified without any problem. In this manner, successful and astute frameworks are ought to be planned. The invented scheme contains dual chief phases. Above all phases, the photograph about the gaps do planned to implement advance special image approach methods, so as to recognize their fields along with architecture and follow onto thegrouping phase, where a back propagation neural system is prepared and afterward tried on preparing the pictures. Tentatively the schemes do check out separate bone gap photographs also the conclusion will display proficiently along with a characterization rate. Institute of Electrical and Electronics Engineers Inc. 2020-12-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42435/1/Automatic%20fracture%20detection%20in%20hand%20bone%20using%20MATLAB.pdf pdf en http://umpir.ump.edu.my/id/eprint/42435/2/Automatic%20fracture%20detection%20in%20hand%20bone%20using%20MATLAB%20and%20image%20processing_ABS.pdf Gowtham Naidu, D. and Puviarasi, R. and Ramalingam, Mritha (2020) Automatic fracture detection in hand bone using MATLAB and image processing. In: Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020. 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020 , 3 - 5 December 2020 , Thoothukudi. pp. 650-653. (9316009). ISBN 978-172817089-3 (Published) https://doi.org/10.1109/ICISS49785.2020.9316009
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Gowtham Naidu, D.
Puviarasi, R.
Ramalingam, Mritha
Automatic fracture detection in hand bone using MATLAB and image processing
description Rapidly discovering the possible technological advantages are evolving every day in distinct fields, especially in the clinical circumstances. Be that as it may, in any case, some existing methods are very mainstream, productive and compelling. X-rays enforces methods for analyzing the locations of bone breaks. All things considered in some cases, the size about division inset remains more critical and also it could not stay identified without any problem. In this manner, successful and astute frameworks are ought to be planned. The invented scheme contains dual chief phases. Above all phases, the photograph about the gaps do planned to implement advance special image approach methods, so as to recognize their fields along with architecture and follow onto thegrouping phase, where a back propagation neural system is prepared and afterward tried on preparing the pictures. Tentatively the schemes do check out separate bone gap photographs also the conclusion will display proficiently along with a characterization rate.
format Conference or Workshop Item
author Gowtham Naidu, D.
Puviarasi, R.
Ramalingam, Mritha
author_facet Gowtham Naidu, D.
Puviarasi, R.
Ramalingam, Mritha
author_sort Gowtham Naidu, D.
title Automatic fracture detection in hand bone using MATLAB and image processing
title_short Automatic fracture detection in hand bone using MATLAB and image processing
title_full Automatic fracture detection in hand bone using MATLAB and image processing
title_fullStr Automatic fracture detection in hand bone using MATLAB and image processing
title_full_unstemmed Automatic fracture detection in hand bone using MATLAB and image processing
title_sort automatic fracture detection in hand bone using matlab and image processing
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/42435/1/Automatic%20fracture%20detection%20in%20hand%20bone%20using%20MATLAB.pdf
http://umpir.ump.edu.my/id/eprint/42435/2/Automatic%20fracture%20detection%20in%20hand%20bone%20using%20MATLAB%20and%20image%20processing_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42435/
https://doi.org/10.1109/ICISS49785.2020.9316009
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score 13.244413