Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment.

ABSTRACT: Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). However, accurately diagnosing the meniscus from a comprehensive knee MRI is challenging due to its limited and weak signal, significantly impeding the precise grading of meniscal injuries. In this study, a visual interpretable fine grading (VIFG) diagnosis model has been developed to facilitate intelligent and quantified grading of meniscal injuries. Leveraging a multilevel transfer learning framework, it extracts comprehensive features and incorporates an attributional attention module to precisely locate the injured positions. Moreover, the attention-enhancing feedback module effec

SUBMITTER: Luo A 

PROVIDER: S-EPMC11018801 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature