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AuthorJahed, Zeinab
AuthorShaban, Khaled
AuthorTizhoosh, Hamid R.
Available date2022-12-21T10:01:48Z
Publication Date2013
Publication NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ResourceScopus
URIhttp://dx.doi.org/10.1109/EMBC.2013.6610253
URIhttp://hdl.handle.net/10576/37519
AbstractDetecting objects, a significant task in computer vision, is accompanied with many challenges. When we focus on medical images, the challenges of detecting an organ or a tumour exhibit their own specific difficulties. Automatic finding of the prostate gland in magnetic resonance (MR) images, for instance, is a needed task in some clinical procedures. In this paper we propose a novel method for detection of the prostate gland in MR images. We use a multi-stage intra-patient approach to the template matching which is based on a trained dataset. We conduct experiments with the images of 100 patients and report preliminary results that seem to be promising. 2013 IEEE.
Languageen
SubjectClinical procedure
Detecting objects
MR images
Multi-stage
Prostate glands
Magnetic resonance imaging
Template matching
Urology
Magnetic resonance
algorithm
anatomy and histology
data base
human
male
nuclear magnetic resonance imaging
organ size
prostate
Algorithms
Databases as Topic
Humans
Magnetic Resonance Imaging
Male
Organ Size
Prostate
TitleMulti-stage intra-patient template matching for prostate detection in MR volumes
TypeConference Paper
Pagination3327-3330
dc.accessType Abstract Only


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