Rapid machine-learning enabled design and control of precise next-generation cryogenic surgery in dermatology-Reference-Cited by-同舟云学术

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Rapid machine-learning enabled design and control of precise next-generation cryogenic surgery in dermatology

Published:2023-12 Issue: Volume:417 Page:116220
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zohdi Tarek I.,Zohdi-Mofid Mona^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference33 articles.

1. Cutaneous cryosurgery for common skin conditions;Clebak;Am. Fam. Phys.,2020

2. Optimising cryosurgery technique;Cranwell;Aust. Fam. Phys.,2017

3. Cryotherapy. StatPearls. Treasure Island (FL);Prohaska,2022

4. Cryogenic Engineering: Fifty Years of Progress;Timmerhaus,2007

5. J.M. Nash, Vortex Expansion Devices for High Temperature Cryogenics, in: Proc. of the 26th Intersociety Energy Conversion Engineering Conference, vol. 4, 1991, pp. 521–525.

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