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https://rda.sliit.lk/handle/123456789/811
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ratnasingam, T | - |
dc.contributor.author | Sayanthan, A | - |
dc.contributor.author | Velummylum, E. S | - |
dc.contributor.author | Archchana, K | - |
dc.contributor.author | Pulasinghe, K | - |
dc.date.accessioned | 2022-01-28T06:42:06Z | - |
dc.date.available | 2022-01-28T06:42:06Z | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 2456-2165 | - |
dc.identifier.uri | http://localhost:80/handle/123456789/811 | - |
dc.description.abstract | - PACS (picture archiving and communication system) is a medicinal imaging technology that is utilized basically in medicinal services associations to safely store and dissect carefully transmit electronic pictures. PACS a needed asset in contemporary hospitals, has demonstrated its key position in the department of radiology for archiving and collecting medical images, followed by its inclusion with the department of radiology. In this paper we have included work 3D displaying of DICOM pictures, calculation of segmented cancer part with fine calculations, voice recognition for a program to get and translate correspondence or to comprehend and complete spoken directions, and forecast of malignancy utilizing examinations of cancer symptoms. | en_US |
dc.language.iso | en | en_US |
dc.publisher | www.ijisrt.com | en_US |
dc.relation.ispartofseries | International Journal of Innovative Science and Research Technology;Vol,4 Issue 10 | - |
dc.subject | MRI | en_US |
dc.subject | DICOM | en_US |
dc.subject | K-NN | en_US |
dc.subject | SVM | en_US |
dc.subject | FNA | en_US |
dc.subject | PACS | en_US |
dc.title | Web Based Voice Controlled Advanced PACS to Diagnose Lungs Cancer and Related Anomalies | en_US |
dc.type | Article | en_US |
Appears in Collections: | Research Papers - Open Access Research Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology |
Files in This Item:
File | Description | Size | Format | |
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IJISRT19OCT2218.pdf | 421.46 kB | Adobe PDF | View/Open |
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