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  1. Predict STAS from histopathology images in lung cancer
  2. discover cancer subtypes based on multi-omics data
  3. artificial intelligence models in radiology
  4. Heterogeneous graph network convolutional masked autoencoder
  5. Local depth convolution-based Swim framework
  6. Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation
  7. Dual-branch hierarchical global–local fusion network
  8. MGTUNet: An new UNet for colon nuclei instance segmentation and quantification
  9. Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
  10. A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances
  11. Noise Reduction Technique for Raman Spectrum using Deep Learning Network