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dc.contributor.authorAralasmak, AYŞE
dc.contributor.authorBilsel, Kerem
dc.contributor.authorSadeghi, Majid Mohammad
dc.contributor.authorKececi, Emin Faruk
dc.date.accessioned2019-10-05T21:59:40Z
dc.date.available2019-10-05T21:59:40Z
dc.date.issued2017-01-01
dc.identifier.urihttps://hdl.handle.net/20.500.12645/8636
dc.description.abstractMedical imaging has great importance in earlier detection, better treatment and follow-up of diseases. 3D Medical image analysis with CT Scan and MRI images has also been used to aid surgeries by enabling patient specific implant fabrication, where having a precise three dimensional model of associated body parts is essential. In this paper, a 3D image processing methodology for finding the plane on which the glenoid surface has a maximum surface area is proposed. Finding this surface is the first step in designing patient specific shoulder joint implant.
dc.language.isoen
dc.subjectSadeghi M. M. , Kececi E. F. , Bilsel K., Aralasmak A., -Finding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR-, 9th International Conference on Machine Vision (ICMV), Nice, Fransa, 18 - 20 November 2016, cilt.10341
dc.titleFinding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR
dc.typeConference Paper
local.avesis.response8512
dc.identifier.wosWOS:000410664800067
dc.identifier.scopus85029926852
dc.identifier.doi10.1117/12.2268409
local.publication.isinternational1


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