Investigation into the automatic drilling of cortical bones using ANFIS-PSO and sensitivity analysis-Reference-Cited by-同舟云学术

Investigation into the automatic drilling of cortical bones using ANFIS-PSO and sensitivity analysis

Published:2021-06-26 Issue:23 Volume:33 Page:16499-16517
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Safari M.,Tahmasbi V.,Rabiee A. H.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06248-4.pdf

Reference52 articles.

1. Bachus KN, Rondina MT, Hutchinson DT (2000) The effects of drilling force on cortical temperatures and their duration: an in vitro study. Med Eng Phys 22(10):685–691

2. Bronner, Felix, Mary C. Farach-Carson, and Janet Rubin (eds) (2006) Bone resorption, vol. 2. Springer Science & Business Medi

3. Lundskog J (1972) Heat and bone tissue. An experimental investigation of the thermal properties of bone and threshold levels for thermal injury. Scand J Plast Reconstr Surg 9:72–74

4. Eriksson AR, Albrektsson T (1983) Temperature threshold levels for heat-induced bone tissue injury: a vital-microscopic study in the rabbit. J Prosthet Dent 50(1):101–107

5. Akhbar MFA, Sulong AWJAOBE (2021) surgical drill bit design and thermomechanical damage in bone drilling: a review. Ann Biomed Eng 49:29–56

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