Automated skin thickening extraction in post radiotherapy mammograms via feedforward neural networks using histogram based segmentation and continuous hidden Markov model generated features

L. Barinov, L. Paster, N. Yue, Z. Xiao, Q. Huang, Sharad Goyal

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

Abstract

The purpose of this study is to establish an automated technique that accurately and effectively characterizes skin thickening in mammograms after breast conserving surgery and radiation therapy (BCS+RT).

Original languageEnglish (US)
Title of host publication2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013500
DOIs
StatePublished - Feb 11 2016
EventIEEE Signal Processing in Medicine and Biology Symposium - Philadelphia, United States
Duration: Dec 12 2015 → …

Publication series

Name2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings

Other

OtherIEEE Signal Processing in Medicine and Biology Symposium
Country/TerritoryUnited States
CityPhiladelphia
Period12/12/15 → …

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Health Informatics

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