LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype.
Vivek ShankarXiaoli YangVrishab KrishnaBrent TanOscar SilvaRebecca RojanskyAndrew Y. NgFabiola ValvertEdward BriercheckDavid WeinstockYasodha NatkunamSebastian Fernandez-PolPranav RajpurkarPublished in: ML4H@NeurIPS (2023)
Keyphrases
- artificial intelligence
- preprocessing
- high accuracy
- classification accuracy
- detection method
- high precision
- feature set
- expert systems
- co occurrence
- cost function
- classification process
- extracted features
- principal components
- probabilistic model
- dynamic programming
- prior knowledge
- computational complexity
- similarity measure
- principal component analysis
- image analysis
- computational intelligence
- clustering method
- multiscale
- training data
- image matching
- decision trees
- machine learning