MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning
Multiple instance learning (MIL) has become a standard paradigm for weakly supervised
classification of whole slide images (WSI). However, this paradigm relies on the use of a …
classification of whole slide images (WSI). However, this paradigm relies on the use of a …
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading
Recently, multimodal deep learning, which integrates histopathology slides and molecular
biomarkers, has achieved a promising performance in glioma grading. Despite great …
biomarkers, has achieved a promising performance in glioma grading. Despite great …
Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
Abstract To accelerate Magnetic Resonance (MR) imaging procedures, Multi-Contrast MR
Reconstruction (MCMR) has become a prevalent trend that utilizes an easily obtainable …
Reconstruction (MCMR) has become a prevalent trend that utilizes an easily obtainable …