Multi‐label Ensemble Model for Knee Joint Anatomy and Lesion Segmentation: Segmentation of Clinical Images With Ensembling, Morphology, and Attention (SCEMA) | Synapse
Multi‐label Ensemble Model for Knee Joint Anatomy and Lesion Segmentation: Segmentation of Clinical Images With Ensembling, Morphology, and Attention (SCEMA)
This research aims to develop a fully automatic model for segmenting knee joint anatomy and lesions in MRI images.
Utilized a multi-label ensemble model for segmentation tasks.
Applied morphological techniques to improve segmentation quality.
Incorporated attention mechanisms to enhance focus on relevant anatomical structures.
Achieved high-quality segmentation of knee joint anatomy and lesions.
Segmentation results were validated and reproducible across different cases.
BMEL quality labels and segmentation annotations were made publicly available for future research.
Abstract
Fully automatic, high-quality anatomical and lesion segmentation was attained from standard clinical knee MRI. For reproducibility, BMEL quality labels and segmentation annotations were shared with the public.