Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy-Reference-Cited by-同舟云学术

Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy

Author:

Lau Carol P. Y.¹²^ORCID,Ma Wenao³,Law Kwan Yau⁴,Lacambra Maribel D.⁵,Wong Kwok Chuen⁶,Lee Chien Wei¹,Lee Oscar K.⁶,Dou Qi³,Kumta Shekhar M.⁶

Affiliation:

1. Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Hong Kong

2. School of Science and Technology, Hong Kong Metropolitan University, Hong Kong

3. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong

4. The Hong Kong Institute of Biotechnology Limited, Hong Kong

5. Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong

6. Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong

Abstract

Confocal Raman spectroscopy accomplished by the LSTM network accurately evaluates a tumor margin by its inherent biochemiacal specificity.

Funder

Chinese University of Hong Kong

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

Reference62 articles.

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