Bridging the gap between prostate radiology and pathology through machine learning.
Indrani BhattacharyaDavid S. LimHan Lin AungXingchen LiuArun SeetharamanChristian A. KunderWei ShaoSimon John Christoph SoerensenRichard E. FanPejman GhanouniKatherine J. To'oJames D. BrooksGeoffrey A. SonnMirabela RusuPublished in: CoRR (2021)
Keyphrases
- machine learning
- pattern recognition
- communication systems
- machine learning methods
- machine learning algorithms
- ultrasound images
- learning tasks
- learning algorithm
- machine learning approaches
- feature selection
- automatic segmentation
- decision trees
- data mining
- computational intelligence
- medical images
- prostate cancer
- text classification
- inductive learning
- artificial intelligence
- information extraction
- computer science
- explanation based learning
- natural language processing
- knowledge base
- prostate segmentation
- supervised machine learning
- imaging modalities
- information retrieval
- computational biology
- computer vision
- free text
- magnetic resonance
- natural language
- image registration
- supervised learning
- semi supervised learning