Fully automated ai-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in tace patients with hcc

HIGHLIGHTS

• who: Lukas Müller from the Department of General, Visceral and Transplant Surgery, University Mainz, Germany have published the paper: Fully automated AI-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in TACE patients with HCC, in the Journal: (JOURNAL) of 10/01/2022
• what: This study had two primary research goals: First, the authors aimed to build a deep-learning algorithm for fully automated splenic volume assessments based on CT images. The authors aimed to validate the role of total splenic volume as a novel imaging biomarker for survival . . .
  

   

  

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