Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images.
Mostafa A. HammoudaMarwan KhaledHesham AliSahar SelimMustafa ElattarPublished in: MIUA (2023)
Keyphrases
- deep learning
- cancer diagnosis
- weakly supervised
- denoising
- cell nuclei
- superpixels
- natural images
- lung cancer
- image processing
- cancer classification
- microarray
- unsupervised learning
- topic models
- gene selection
- relation extraction
- object class
- semi supervised
- machine learning
- gene expression data
- gene expression profiles
- feature extraction
- named entities
- image segmentation
- microarray data
- image analysis
- training data