GLT-PEFT: Gated Lie-Tucker Parameter-Efficient Fine-Tuning for Alzheimer's Disease Diagnosis with Hippocampal Segmentation Pretraining

Documenti analoghi

• A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis
  di: Cheng, Wangang, et al.
  Pubblicazione: (2024)
• LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors
  di: He, Guanghua, et al.
  Pubblicazione: (2024)
• tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation
  di: He, Guanghua, et al.
  Pubblicazione: (2025)
• MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
  di: Zhu, Hancan, et al.
  Pubblicazione: (2025)
• MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
  di: Yoshimura, Masakazu, et al.
  Pubblicazione: (2024)