BRAIN REGION SEGMENTAION USING CNN.
The human cerebrum is the nerve centre of the sensory system. A cerebrum tumor is an assortment of unconstrained development of the cell that are unusually found in different pieces of the mind lead to disease. A solid division technique is needed to give exact yield. Distinguishing proof of mind tu...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 1032 - 1049 |
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| Autores principales: | , , |
| Formato: | computer program diagnostic images equations & formulas research Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151006064&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151006064 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13008757 YU1 jtl: Turkish Journal of Physiotherapy Rehabilitation issn: 13008757 maglogo: N pubinfo: dt: 2021 vid: 32 iid: 2 pid: 20392 pub: Turkish Journal of Physiotherapy & Rehabilitation place: Kizilay/ Ankara, <Blank> artinfo: ui: 151006064 151006064 151006064 151006064 ppf: 1032 ppct: 17 formats: fmt: @attributes: type: P tig: atl: BRAIN REGION SEGMENTAION USING CNN. aug: au: SRIYASH, J. PHARSWAL, APOORV KUMAR KOWSIGAN, M. affil: Department of Computer Science and Engineering, College of Engineering and Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur 603203, Kanchipuram, Chennai, TN, India sug: subj: Brain Neoplasms Diagnosis Neural Networks (Computer) Magnetic Resonance Imaging Methods Image Processing, Computer Assisted Artificial Intelligence Brain Neoplasms Algorithms Sensitivity and Specificity Software Design Technology, Medical Qualitative Studies Quantitative Studies Descriptive Statistics Regression ab: The human cerebrum is the nerve centre of the sensory system. A cerebrum tumor is an assortment of unconstrained development of the cell that are unusually found in different pieces of the mind lead to disease. A solid division technique is needed to give exact yield. Distinguishing proof of mind tumors is genuinely a troublesome undertaking in the beginning phases of life. Be that as it may, presently, with various AI and profound learning calculations, it has gotten progressed. For cerebrum tumor location, understanding information, for example, MRI (Magnetic resonance imaging) pictures of a patient's mind is thought of. A few writings on recognizing these sorts of cerebrum tumors and improving the exactness of identification have been distributed. The division, identification and extraction from MRI (Magnetic resonance imaging) of the tainted tumor territory is an essential concern, however a dreary and tedious undertaking performed by radiologists or clinical specialists, and their accuracy relies exclusively upon their experience. In this way, to beat these constraints, the utilization of PC supported innovation is significant. The goal is to add some more calculative highlights to the current CNN technique. The pre-processing of the image includes three filters i.e., Guided Filter, Weight least square (WLS) filter, Non - local Mean filter (NLM). pubtype: Academic Journal doctype: computer program diagnostic images equations & formulas research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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