An automatic parathyroid recognition and segmentation model based on deep learning of near‐infrared autofluorescence imaging

Autor: Fan Yu, Tian Sang, Jie Kang, Xianzhao Deng, Bomin Guo, Hangzhou Yang, Xiaoyi Chen, Youben Fan, Xuehai Ding, Bo Wu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Cancer Medicine, Vol 13, Iss 4, Pp n/a-n/a (2024)
Druh dokumentu: article
ISSN: 2045-7634
DOI: 10.1002/cam4.7065
Popis: Abstract Introduction Near‐infrared autofluorescence imaging (NIFI) can be used to identify parathyroid gland (PG) during surgery. The purpose of the study is to establish a new model, help surgeons better identify, and protect PGs. Methods Five hundred and twenty three NIFI images were selected. The PGs were recorded by NIFI and marked with artificial intelligence (AI) model. The recognition rate for PGs was calculated. Analyze the differences between surgeons of different years of experience and AI recognition, and evaluate the diagnostic and therapeutic efficacy of AI model. Results Our model achieved 83.5% precision and 57.8% recall in the internal validation set. The visual recognition rate of AI model was 85.2% and 82.4% on internal and external sets. The PG recognition rate of AI model is higher than that of junior surgeons (p
Databáze: Directory of Open Access Journals
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