Please use this identifier to cite or link to this item: http://digitalrepository.fccollege.edu.pk/handle/123456789/40
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAkram, Sheeraz-
dc.contributor.authorJaved, M. Younus-
dc.contributor.authorQamar, Usman-
dc.contributor.authorKhanum, Dr. Aasia-
dc.date.accessioned2018-06-28T14:48:58Z-
dc.date.available2018-06-28T14:48:58Z-
dc.date.issued2015-
dc.identifier.citationApplied Mathematics and Information Sciences, (ISI Indexed, IF: 1.232), Vol. 9, No. 1, pp. 183-195, 2015en_US
dc.identifier.otherISI Indexed, IF: 1.232-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/40-
dc.relation.ispartofseriesVol. 9, No. 1;pp. 183-195-
dc.subjectComputer Sciencesen_US
dc.titleArtificial Neural Network based Classification of Lungs Nodule using Hybrid Features from Computerized Tomographic Imagesen_US
dc.typeOtheren_US
Appears in Collections:Computer Science Department

Files in This Item:
File Description SizeFormat 
Research Document.pdf
  Restricted Access
86.41 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.