39fJ Analog Artificial Neural Network for Breast Cancer Classification in 65nm CMOS.
Ruobing HuaArindam SanyalPublished in: MWSCAS (2019)
Keyphrases
- cancer classification
- artificial neural networks
- analog vlsi
- circuit design
- gene selection
- random forest
- microarray
- cmos image sensor
- cmos technology
- cancer diagnosis
- gene expression data
- microarray data
- focal plane
- silicon on insulator
- gene expression profiling
- gene expression profiles
- metal oxide semiconductor
- feature selection
- analog to digital converter
- low power
- floating gate
- neural network
- genetic algorithm
- experimental conditions
- gene expression
- genetic algorithm ga
- infrared
- multi layer perceptron
- image sensor
- image classification
- support vector machine svm
- microarray datasets
- dynamic range
- graph cuts
- feature set
- high dimensional
- pattern recognition
- decision trees
- unsupervised learning
- power consumption