Cross-domain subcortical brain structure segmentation algorithm based on low-rank adaptation fine-tuning SAM.

Journal: BMC medical imaging
Published Date: Jul 1, 2025

Abstract

PURPOSE: Accurate and robust segmentation of anatomical structures in brain MRI provides a crucial basis for the subsequent observation, analysis, and treatment planning of various brain diseases. Deep learning foundation models trained and designed on large-scale natural scene image datasets experience significant performance degradation when applied to subcortical brain structure segmentation in MRI, limiting their direct applicability in clinical diagnosis.

Authors

  • Yuan Sui
    Software College, Northeastern University, Shenyang 110004, China.
  • Qian Hu
    Laboratory of Molecular Translational Medicine, Centre for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Clinical Research Center for Birth Defects of Sichuan Province, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; Department of Gynecology and Obstetrics, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Yujie Zhang
    Beijing University of Chinese Medicine, Beijing, 100029, China. zhyj227@126.com.

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