PDA-based system with teleradiology and image analysis capabilities.

Simple item page
dc.contributor.authorGeorgiadis, Pantelis
dc.contributor.authorCavouras, Dionisis
dc.contributor.authorDaskalakis, Antonis
dc.contributor.authorSifaki, Koralia
dc.contributor.authorMalamas, Menelaos
dc.contributor.authorNikiforidis, George
dc.contributor.authorSolomou, Ekaterini
dc.date.accessioned2020-02-06T17:58:02Z
dc.date.available2020-02-06T17:58:02Z
dc.date.issued2007-11-16
dc.description.abstractThe aim of the present study was to design and implement a Personal Digital Assistant PDA based teleradiology system incorporating image processing and analysis facilities for use in emergency situations within a hospital environment The system comprised a DICOM server connected to an MRI unit 3 wireless access points and 3 PDAs HP iPaq rx3715 PDA application software was developed in MS Embedded Visual C 4 0 Each PDA can receive load process and analyze hi quality static MR images Image processing includes gray scale manipulation and spatial filtering techniques while image analysis incorporates a probabilistic neural network PNN classifier which was optimally designed employing a suitable combination of textural features and was evaluated using the leave one out method The PNN is capable of discriminating between three major types of human brain tumors with accuracy of 86 66 The developed application may be useful as a mobile medical teleconsultation tool
dc.identifier.urihttp://dx.doi.org/10.1109/IEMBS.2007.4352981
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/5851
dc.relation.uriConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dc.subjectAt risk for a particular disease or infection
dc.subjectFacility-based health worker
dc.subjectAccess to information or data
dc.subjectPrototype
dc.subjectAcute or emergency
dc.subjectDisease diagnosis / Point-of-care diagnostics
dc.subjectImage
dc.subjectDecision support algorithm
dc.titlePDA-based system with teleradiology and image analysis capabilities.en
dcterms.abstractThe aim of the present study was to design and implement a Personal Digital Assistant PDA based teleradiology system incorporating image processing and analysis facilities for use in emergency situations within a hospital environment The system comprised a DICOM server connected to an MRI unit 3 wireless access points and 3 PDAs HP iPaq rx3715 PDA application software was developed in MS Embedded Visual C 4 0 Each PDA can receive load process and analyze hi quality static MR images Image processing includes gray scale manipulation and spatial filtering techniques while image analysis incorporates a probabilistic neural network PNN classifier which was optimally designed employing a suitable combination of textural features and was evaluated using the leave one out method The PNN is capable of discriminating between three major types of human brain tumors with accuracy of 86 66 The developed application may be useful as a mobile medical teleconsultation tool
dcterms.contributorGeorgiadis, Pantelis
dcterms.contributorCavouras, Dionisis
dcterms.contributorDaskalakis, Antonis
dcterms.contributorSifaki, Koralia
dcterms.contributorMalamas, Menelaos
dcterms.contributorNikiforidis, George
dcterms.contributorSolomou, Ekaterini
dcterms.identifierhttp://dx.doi.org/10.1109/IEMBS.2007.4352981
dcterms.relationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dcterms.subjectAt risk for a particular disease or infection
dcterms.subjectFacility-based health worker
dcterms.subjectAccess to information or data
dcterms.subjectPrototype
dcterms.subjectAcute or emergency
dcterms.subjectDisease diagnosis / Point-of-care diagnostics
dcterms.subjectImage
dcterms.subjectDecision support algorithm
dcterms.titlePDA-based system with teleradiology and image analysis capabilities.en
Files
Collections
mhealth Evidence