Technology Transfer of Convolutional Neural Networks: An Example

Thanakij Wanavit; Samuel Sallee; Chedtha Puncreobutr; Chedtha Puncreobutr; Leslie Klieb; Pin Tea-Makorn

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Paper

Technology Transfer of Convolutional Neural Networks: An Example

Topics: Convolutional Neural Networks; Deep Learning; Learning Paradigms and Algorithms; Recurrent Neural Networks

In Proceedings of the 14th International Joint Conference on Computational Intelligence - Volume 1: NCTA, 375-380, 2022 , Valletta, Malta

Authors: Thanakij Wanavit ¹ ; Samuel Sallee ¹ ; Chedtha Puncreobutr ^{2

;

3} ; Leslie Klieb ¹ and Pin Tea-Makorn ⁴

Affiliations: ¹ Tenxor Inc, 401 Harrison St. Unit 41C, San Francisco, 94105 U.S.A. ; ² Department of Metallurgical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand ; ³ Biomedical Engineering Biomechanics Research Center, Meticuly Co., Ltd., Chulalongkorn University, Bangkok, Thailand ; ⁴ Sasin Graduate Institute of Business Administration, Chulalongkorn University, Bangkok, Thailand

Keyword(s): Convolutional Neural Networks, Bone Segmentation, Technology Transfer to Industry, U-net, LSTM, Dice Similarity Coefficient, Hausdorff Distance.

Abstract: A number of university groups have shown that neural networks, especially U-nets, can satisfactorily segment CT-scans of bones. Segmentation, labelling the scans where bone and enamel are and where not, can be used to make a 3D model of the skull. This paper gives an overview of efforts to transfer university-based research work for use to a company that manufactures titanium meshes for brain surgery. It discusses issues and pitfalls in such a transition. A working prototype is discussed.

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Paper citation in several formats:

Wanavit, T.; Sallee, S.; Puncreobutr, C.; Klieb, L. and Tea-Makorn, P. (2022). Technology Transfer of Convolutional Neural Networks: An Example. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA; ISBN 978-989-758-611-8; ISSN 2184-3236, SciTePress, pages 375-380. DOI: 10.5220/0011540200003332

@conference{ncta22,
author={Thanakij Wanavit. and Samuel Sallee. and Chedtha Puncreobutr. and Leslie Klieb. and Pin Tea{-}Makorn.},
title={Technology Transfer of Convolutional Neural Networks: An Example},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA},
year={2022},
pages={375-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011540200003332},
isbn={978-989-758-611-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA
TI - Technology Transfer of Convolutional Neural Networks: An Example
SN - 978-989-758-611-8
IS - 2184-3236
AU - Wanavit, T.
AU - Sallee, S.
AU - Puncreobutr, C.
AU - Klieb, L.
AU - Tea-Makorn, P.
PY - 2022
SP - 375
EP - 380
DO - 10.5220/0011540200003332
PB - SciTePress