Biomedical Data Analysis and Visualisation (BDAV) Lab, USYD

Created in May 01, 2023

2023

Deep Learning for Focal Liver Lesions Diagnosis Using Multimodal MRI Sydney, Australia

  • Proposed a deep learning model for seven-class FLL classification using multiparametric MRI with 8 sequences.
  • Proposed a Pyramid Lattice Network (PLN) to adaptively fuse 2D and 3D features for balanced learning of anisotropic mpMRI semantics.
  • Proposed a multi-node adaptive attention module (MAAM) that dynamically selects and integrates features encoding different-level anisotropic information.
  • Proposed a self-supervised pre-training technique to enable the model to learn the anisotropic features from the images using large-scale unlabeled data.