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Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.

Samir DonmazovEda Nur SaruhanKerem PekkanSenol Piskin
Published in: Cardiovascular engineering and technology (2024)
values ranging from 0.90 to 1.00. This is particularly significant considering the challenges associated with obtaining a large number of living tissue samples for experimental purposes, which can be time-consuming and impractical. Additionally, the review not only discusses the advantages identified in the current literature but also sheds light on the limitations and offers insights into future perspectives.
Keyphrases
  • machine learning
  • soft tissue
  • systematic review
  • big data