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Automated skin thickening extraction in post radiotherapy mammograms via feedforward neural networks using histogram based segmentation and continuous hidden Markov model generated features
- Source :
- 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
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).
- Subjects :
- medicine.diagnostic_test
Artificial neural network
Computer science
business.industry
medicine.medical_treatment
Feature extraction
Radiation therapy
Histogram
medicine
Mammography
Feedforward neural network
Segmentation
Computer vision
Artificial intelligence
skin and connective tissue diseases
business
Hidden Markov model
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
- Accession number :
- edsair.doi...........944fc5f2c58fb22658412b6325ddea9c
- Full Text :
- https://doi.org/10.1109/spmb.2015.7405459