Parallel realization of cognitive cells on film mammography

Alex Pappachen James, Sherin Sugathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High speed detection of breast masses from mammography images at an affordable cost is a problem of practical significance in large volume real-time processing and diagnostic assessments. In this paper, we present a new approach to real-time detection of breast masses by introducing the concept of cognitive cells that has a fully parallel high speed computing architecture realised in a low cost hardware. The prototype system was tested using the Compute Unified Device Architecture (CUDA) that achieved an average speed of 6 ms for processing a single 1024x1024 pixels mammography image. Initial results shows feasibility of using cognitive cells for suspicious breast cancer mass detection in mammograms with superior performances in speed in comparison to other standard methods. We report specificity of 95.25% and the cancer false positives per image as 2.275 for MISC, ASYM, CIRC and SPIC cases, while a relatively lower specificity of 70% and the false positives per image as 2.25 is reported for CALC and ARCH cases of abnormalities.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013
Pages1873-1878
Number of pages6
DOIs
Publication statusPublished - 2013
Event12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013 - Melbourne, VIC, Australia
Duration: Jul 16 2013Jul 18 2013

Publication series

NameProceedings - 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013

Other

Other12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013
CountryAustralia
CityMelbourne, VIC
Period7/16/137/18/13

Keywords

  • Breast Cancer
  • CUDA
  • Cognitive Cell
  • Film Mammography
  • Parallel Computing Networks

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Parallel realization of cognitive cells on film mammography'. Together they form a unique fingerprint.

Cite this