A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification.
Mahdi AhmadiNader KarimiShadrokh SamaviPublished in: CoRR (2024)
Keyphrases
- lightweight
- deep learning
- cancer classification
- gene selection
- microarray
- random forest
- cancer diagnosis
- microarray data
- gene expression data
- unsupervised learning
- machine learning
- gene expression profiles
- feature selection
- wireless sensor networks
- mental models
- weakly supervised
- neural network
- experimental conditions
- gene expression
- high dimensionality
- model selection
- feature vectors
- microarray datasets
- object recognition
- face recognition
- decision trees
- data sets