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Liver segmentation in medical imaging scans is fundamental for the diagnosis and treatment planning of liver-related pathologies. It aids in identifying and characterizing diseases, providing accurate recognition of affected organs and tissues. Despite its significance, achieving precise segmentation is a major challenge due to the presence of artifacts and the different densities of soft tissues and neighboring organs. Given the inherent difficulty associated with the subjectivity regarding the validation and acceptance of manual segmentation by clinicians, this work emphasizes the importance of quantitative metrics to complement the subjective assessment for automatic liver segmentation outcome.

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Comparative Analysis of Quantitative Assessment Metrics for Liver Segmentation

  • 会议论文

  • 发表日期：

    2025年

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  • Stephanie Batista,
  • Miguel Couceiro,
  • Ricardo Filipe,
  • Paulo Rachinhas,
  • Jorge Isidoro,
  • Inês Domingues

摘要

Liver segmentation in medical imaging scans is fundamental for the diagnosis and treatment planning of liver-related pathologies. It aids in identifying and characterizing diseases, providing accurate recognition of affected organs and tissues. Despite its significance, achieving precise segmentation is a major challenge due to the presence of artifacts and the different densities of soft tissues and neighboring organs. Given the inherent difficulty associated with the subjectivity regarding the validation and acceptance of manual segmentation by clinicians, this work emphasizes the importance of quantitative metrics to complement the subjective assessment for automatic liver segmentation outcome.