UniversityLibraryCurrent studentsStaff intranet
University of Sydney
Browsing by author 
  • SeS Home
  • Browsing by author
  • SeS Home
  • Browsing by author
JavaScript is disabled for your browser. Some features of this site may not work without it.
Home About Support
Submit Sign in
Advanced search Simple search

Browse

All of SeS Repository CollectionsTitlesAuthorsPublication yearSubjects

My account

Sign inRegister

Statistics

Most popular itemsStatistics by countryMost popular authors
University Library Current students Staff intranet

Advanced search Simple search

Filters

Use filters to refine the search results.

Browsing by author "Tareef, Afaf"

Jump across:
  • 0-9
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

Or type in a year:
Or enter first few letters:

Sort by:

Results per page:

Sort by:
Title A-Z
  • Title A-Z
  • Title Z-A
  • Publication date - newest
  • Publication date - oldest
  • Submit date - newest
  • Submit date - oldest
Results per page:
20
  • 5
  • 10
  • 20
  • 50
  • 100
    • Automated Segmentation of Touching and Overlapping Cells in Microscopic Images 

      Tareef, Afaf
      Published 2017-08-01
      This thesis presents numerous automated methods nuclei and cytoplasm segmentation from touching and overlapping cells in two challenging microscopic images, i.e., blood and Pap images. Particularly, we started our research ...
      USyd Access
      Thesis
      View
    • Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation 

      Tareef, Afaf; Song, Yang; Cai, Weidong; Huang, Heng; Chang, Hang; Wang, Yue; Fulham, Michael; Feng, Dagan; Chen, Mei
      Published 2016-10-25
      Automated segmentation of cells from cervical smears poses great challenge to biomedical image analysis because of the noisy and complex background, poor cytoplasmic contrast and the presence of fuzzy and overlapping cells. ...
      Open Access
      Article
      View
    • Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation 

      Tareef, Afaf; Song, Yang; Cai, Weidong; Huang, Heng; Chang, Hang; Wang, Yue; Fulham, Michael; Feng, Dagan; Chen, Mei
      Published 2016-10-25
      Open Access
      Article
      View
    • Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells 

      Tareef, Afaf; Song, Yang; Huang, Heng; Feng, Dagan; Chen, Mei; Wang, Yue; Cai, Weidong
      Published 2018-03-12
      Open Access
      Article
      View
    • Optimizing the cervix cytological examination based on deep learning and dynamic shape modelling 

      Tareef, Afaf; Song, Yang; Huang, Heng; Wang, Yue; Feng, Dagan; Chen, Mei; Cai, Weidong
      Published 2017-03-08
      Open Access
      Article
      View
    Sort by:
    Title A-Z
    • Title A-Z
    • Title Z-A
    • Publication date - newest
    • Publication date - oldest
    • Submit date - newest
    • Submit date - oldest
    Results per page:
    20
    • 5
    • 10
    • 20
    • 50
    • 100

      Repository

      • About us
      • FAQs
      • User guidelines
      • Email us
      • Non-UniKey login
      Leadership for good starts here

      Media

      • News
      • Find an expert
      • Media contacts

      Student links

      • Sign in to University systems
      • Study dates
      • Student handbooks
      • Timetables
      • Library

      About us

      • Our world rankings
      • Faculties and schools
      • Centres and institutes
      • Campus locations
      • Maps and locations

      Connect

      • Contact us
      • Find a staff member
      • Careers at Sydney
      • Events
      • Emergencies and personal safety
      Group of Eight
      Disclaimer
      Privacy
      Accessibility
      Website feedback
      ABN: 15 211 513 464
      CRICOS Number: 00026A
      Disclaimer
      Privacy
      Accessibility
      Website feedback
      ABN: 15 211 513 464
      CRICOS Number: 00026A

      Export search results

      The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

      Administrators can export up to 15000 items. Regular users can export no more than 500 items.

      To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

      After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.