Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method.

ABSTRACT:

Background

This study aims to develop a hierarchical classification method to automatically assess the severity of knee osteoarthritis (KOA).

Methods

This retrospective study recruited 4074 patients. Clinical diagnostic indicators and clinical diagnostic processes were applied to develop a hierarchical classification method that involved four sub-task classifications. These four sub-task classifications were the classification of Kellgren-Lawrence (KL) grade 0-2 and KL grade 3-4, KL grade 3 and KL grade 4, KL grade 0 and KL grade 1-2, and KL grade 1 and KL grade 2, respectively. To extract the features of clinical diagnostic indicators, four U-Net models were first used to segment the total joint space (TJS), the lateral joint space (LJS), the medial joint space (MJS), and o

SUBMITTER: Pan J 

PROVIDER: S-EPMC11571664 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature