title: Prioritization of brain MRI volumes using medical image perception model and tumor region segmentation.
abstract: The objective of the present study is to explore prioritization methods in diagnostic imaging modalities to automatically determine the contents of medical images. In this paper, we propose an efficient prioritization of brain MRI. First, the visual perception of the radiologists is adapted to identify salient regions. Then this saliency information is used as an automatic label for accurate segmentation of brain lesion to determine the scientific value of that image. The qualitative and quantitative results prove that the rankings generated by the proposed method are closer to the rankings created by radiologists.
authors.affiliation: College of Electronics and Information Engineering, Sejong University, Seoul, Republic of Korea. Electronic address: irfanmehmood@sju.ac.kr.
authors.forename: Irfan
authors.initials: I
authors.lastname: Mehmood
authors.forename: Naveed
authors.initials: N
authors.lastname: Ejaz
authors.forename: Muhammad
authors.initials: M
authors.lastname: Sajjad
authors.forename: Sung Wook
authors.initials: SW
authors.lastname: Baik
mesh_terms: D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology* / Q000473:pathology*; D001932:Brain Neoplasms / Q000473:pathology*; D016208:Databases, Factual; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012372:ROC Curve
keywords: Image ranking; MRI; Medical image perception; Tumor detection and N-cut segmentation