Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer.
Layan NahlawiFarhad ImaniMena GaedJose A. GomezMadeleine MoussaEli GibsonAaron FensterAaron D. WardPurang AbolmaesumiParvin MousaviHagit ShatkayPublished in: BIBM (2015)
Keyphrases
- prostate cancer
- temporal aspects
- computer aided
- image guided
- temporal constraints
- temporal information
- mr images
- radiation therapy
- medical image analysis
- three dimensional
- magnetic resonance spectroscopy
- natural language
- pattern recognition
- temporal patterns
- image classification
- medical records
- prostate segmentation
- contextual information
- data model
- image analysis
- cancer patients
- treatment plan
- survival data
- prostate biopsy
- data mining