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)
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Abstract
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.
Item Type: | Conference or Workshop Item (Lecture) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Back propagation neural system; Fracture detection; Image processing; MATLAB |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Faculty/Division: | Faculty of Computing |
Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
Date Deposited: | 30 Oct 2024 04:45 |
Last Modified: | 30 Oct 2024 04:45 |
URI: | http://umpir.ump.edu.my/id/eprint/42435 |
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