A mobile-based telepathology system for a low resource setting in Ethiopia
In most developing countries like Ethiopia, blood count of a microscopic image is done manually which is tedious, time consuming and error-prone. Recent advances in technology have introduced the use image processing software especially mobile technology. This research designed a low-cost smart phon...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2018-07-01
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| Series: | Applied Computing and Informatics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2210832717300509 |
| _version_ | 1797723146339483648 |
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| author | Admasu Abate Mengistu Kifle Sena Okuboyejo Victor Mbarika |
| author_facet | Admasu Abate Mengistu Kifle Sena Okuboyejo Victor Mbarika |
| author_sort | Admasu Abate |
| collection | DOAJ |
| description | In most developing countries like Ethiopia, blood count of a microscopic image is done manually which is tedious, time consuming and error-prone. Recent advances in technology have introduced the use image processing software especially mobile technology. This research designed a low-cost smart phone microscope adapter, and developed a decision support system for automatic blood cell count and malaria. The image acquisition and processing applying the adapter and the software was tested in two clinics. The result, compared to the manual way of diagnosing microscopic images, is simple for diagnostic process and provides better decision support for malaria and blood cell counting, as well as speed up the diagnosis process. For blood cell counting and malaria detection, it takes about 30 s to 1 min using this system, but using a manual system it takes around 10–20 min. The preliminary result indicates that the developed system is cost-effective for higher and medium clinics in rural and urban clinic setup. This reduces the initial, running and maintenance cost of the laboratory equipment and also improves the quality of services. Keywords: Blood cell counting, Ethiopia malaria, Smartphone, Technology, Telepathology |
| first_indexed | 2024-03-12T09:58:42Z |
| format | Article |
| id | doaj.art-bbde51e337cb4a56aee36c489a98b7de |
| institution | Directory Open Access Journal |
| issn | 2210-8327 |
| language | English |
| last_indexed | 2024-03-12T09:58:42Z |
| publishDate | 2018-07-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Applied Computing and Informatics |
| spelling | doaj.art-bbde51e337cb4a56aee36c489a98b7de2023-09-02T11:58:47ZengEmerald PublishingApplied Computing and Informatics2210-83272018-07-01142186191A mobile-based telepathology system for a low resource setting in EthiopiaAdmasu Abate0Mengistu Kifle1Sena Okuboyejo2Victor Mbarika3Addis Ababa University, EthiopiaAddis Ababa University, Ethiopia; ICITD, Southern University and A&M, Baton Rouge, LA, United States; Ethiopian Federal Ministry of Health, EthiopiaICITD, Southern University and A&M, Baton Rouge, LA, United States; Covenant University, Ogun State, Nigeria; Corresponding author at: Covenant University, Ogun State, Nigeria.ICITD, Southern University and A&M, Baton Rouge, LA, United StatesIn most developing countries like Ethiopia, blood count of a microscopic image is done manually which is tedious, time consuming and error-prone. Recent advances in technology have introduced the use image processing software especially mobile technology. This research designed a low-cost smart phone microscope adapter, and developed a decision support system for automatic blood cell count and malaria. The image acquisition and processing applying the adapter and the software was tested in two clinics. The result, compared to the manual way of diagnosing microscopic images, is simple for diagnostic process and provides better decision support for malaria and blood cell counting, as well as speed up the diagnosis process. For blood cell counting and malaria detection, it takes about 30 s to 1 min using this system, but using a manual system it takes around 10–20 min. The preliminary result indicates that the developed system is cost-effective for higher and medium clinics in rural and urban clinic setup. This reduces the initial, running and maintenance cost of the laboratory equipment and also improves the quality of services. Keywords: Blood cell counting, Ethiopia malaria, Smartphone, Technology, Telepathologyhttp://www.sciencedirect.com/science/article/pii/S2210832717300509 |
| spellingShingle | Admasu Abate Mengistu Kifle Sena Okuboyejo Victor Mbarika A mobile-based telepathology system for a low resource setting in Ethiopia Applied Computing and Informatics |
| title | A mobile-based telepathology system for a low resource setting in Ethiopia |
| title_full | A mobile-based telepathology system for a low resource setting in Ethiopia |
| title_fullStr | A mobile-based telepathology system for a low resource setting in Ethiopia |
| title_full_unstemmed | A mobile-based telepathology system for a low resource setting in Ethiopia |
| title_short | A mobile-based telepathology system for a low resource setting in Ethiopia |
| title_sort | mobile based telepathology system for a low resource setting in ethiopia |
| url | http://www.sciencedirect.com/science/article/pii/S2210832717300509 |
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