13 March 2024Interactive human-machine interface for intraoperative lung cancer diagnosis using mobile optical coherence tomography and deep learning algorithms
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A novel human-machine interface (HMI) combining mobile optical coherence tomography (OCT) and deep learning algorithms enables automatic identification of lung lesions during surgery. With over 80% sensitivity and specificity, this technique facilitates rapid histologically graded diagnosis, providing fast information to clinicians. It offers a cost-effective approach for early detection and treatment guidance, benefiting patients and advocating their rights in the battle against lung cancer.
Hsiang-Fu Huang,Rui-Cheng Zeng,Hung-Chang Liu, andChia-Wei Sun
"Interactive human-machine interface for intraoperative lung cancer diagnosis using mobile optical coherence tomography and deep learning algorithms", Proc. SPIE PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, PC1283108 (13 March 2024); https://doi.org/10.1117/12.3001485
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Hsiang-Fu Huang, Rui-Cheng Zeng, Hung-Chang Liu, Chia-Wei Sun, "Interactive human-machine interface for intraoperative lung cancer diagnosis using mobile optical coherence tomography and deep learning algorithms," Proc. SPIE PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, PC1283108 (13 March 2024); https://doi.org/10.1117/12.3001485