Rapid On-Site AI-Assisted Grading for Lung Surgery Based on Optical Coherence Tomography

Rapid On-Site AI-Assisted Grading for Lung Surgery Based on Optical Coherence Tomography

The determination of resection extent traditionally relies on the microscopic invasiveness of frozen sections (FSs) and is crucial for surgery of early lung cancer with preoperatively unknown histology. While previous research has shown the value of optical coherence tomography (OCT) for instant lun...

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Bibliographic Details
Main Authors: Hung-Chang Liu, Miao-Hui Lin, Wei-Chin Chang, Rui-Cheng Zeng, Yi-Min Wang, Chia-Wei Sun
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Cancers
Subjects:
lung cancer
optical coherence tomography (OCT)
tumor grading
interactive human–machine interface (interactive HMI)
deep learning (DL)
Online Access:https://www.mdpi.com/2072-6694/15/22/5388

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