Smart cloud system with image processing server in diagnosing brain diseases dedicated for hospitals with limited resources.
The use of medical imaging in diagnosing brain disease is growing. The challenges are related to the big size of data and complexity of the image processing. High standard of hardware and software are demanded, which can only be provided in big hospitals. Our purpose was to provide a smart cloud sys...
| Publicado en: | Technology & Health Care Vol. 25; no. 3; pp. 607 - 611 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123442222&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123442222 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09287329 3QT jtl: Technology & Health Care issn: 09287329 maglogo: N pubinfo: dt: 2017 vid: 25 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 123442222 123442222 NLM28128774 10.3233/THC-171298 NLM28128774 123442222 ppf: 607 ppct: 4 formats: tig: atl: Smart cloud system with image processing server in diagnosing brain diseases dedicated for hospitals with limited resources. aug: au: Fahmi, Fahmi Nasution, Tigor H. Anggreiny Anggreiny, Anggreiny affil: Department of Electrical Engineering, University of Sumatera Utara (USU), Medan, Indonesia. sug: subj: Brain Diseases Image Processing, Computer Assisted Methods Brain Neoplasms Diagnosis Equipment and Supplies Neuroradiography Methods Brain Neoplasms Brain Diseases Diagnosis ab: The use of medical imaging in diagnosing brain disease is growing. The challenges are related to the big size of data and complexity of the image processing. High standard of hardware and software are demanded, which can only be provided in big hospitals. Our purpose was to provide a smart cloud system to help diagnosing brain diseases for hospital with limited infrastructure. The expertise of neurologists was first implanted in cloud server to conduct an automatic diagnosis in real time using image processing technique developed based on ITK library and web service. Users upload images through website and the result, in this case the size of tumor was sent back immediately. A specific image compression technique was developed for this purpose. The smart cloud system was able to measure the area and location of tumors, with average size of 19.91 ± 2.38 cm2 and an average response time 7.0 ± 0.3 s. The capability of the server decreased when multiple clients accessed the system simultaneously: 14 ± 0 s (5 parallel clients) and 27 ± 0.2 s (10 parallel clients). The cloud system was successfully developed to process and analyze medical images for diagnosing brain diseases in this case for tumor. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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