MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
CoRR(2024)
摘要
A transformer-based deep learning model, MR-Transformer, was developed for
total knee replacement (TKR) prediction using magnetic resonance imaging (MRI).
The model incorporates the ImageNet pre-training and captures three-dimensional
(3D) spatial correlation from the MR images. The performance of the proposed
model was compared to existing state-of-the-art deep learning models for knee
injury diagnosis using MRI. Knee MR scans of four different tissue contrasts
from the Osteoarthritis Initiative and Multicenter Osteoarthritis Study
databases were utilized in the study. Experimental results demonstrated the
state-of-the-art performance of the proposed model on TKR prediction using MRI.
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