|Table of Contents|

The value of automatic detection of pathological images of oral squamous cell carcinoma by computer aided diagnosis

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 03
Page:
459-463
Research Field:
Publishing date:

Info

Title:
The value of automatic detection of pathological images of oral squamous cell carcinoma by computer aided diagnosis
Author(s):
WU Wei; HUANG Jie; HUANG Yuhua; PENG Yuanni; LI Youyun
Department of Stomatology，Guangdong Hospital of Traditional Chinese Medicine,Guangdong Guangzhou 510120,China.
Keywords:
oral cancer; computer aided diagnosis; artificial intelligence; deep learning
PACS:
R739.6
DOI:
10.3969/j.issn.1672-4992.2023.03.012
Abstract:
Objective:To evaluate the accuracy and clinical application value of computer aided diagnosis in automatic detection of oral squamous cell carcinoma pathological images.Methods:Medical experts from the B Borooah Cancer Institute，1 224 oral pictures collected，prepared and classified from 230 patients were included in the study.This study uses 10-fold cross-validation to train and test the image data to verify the effectiveness of the research model.In addition，this research uses the classic ResNet50 model as the deep learning framework and improves it according to the properties of sliced images to ensure the effect of automatic detection.Results:The results of the classification experiment show that the deep learning model proposed in this research can quickly and accurately detect oral squamous cell carcinoma，the receiver operating characteristic curve（ROC) and the area under the line(AUC)（optimum AUC=0.91，average AUC=0.88) shows the experimental effect of this method.In addition，the accuracy（ACC=0.976)，sensitivity（SEN=0.981)，and specificity（SPE=0.971) of the model further show the effect of the study.Conclusion:The deep learning framework proposed in this research can automatically detect oral squamous cell carcinoma.The results obtained can be effectively transformed into software for clinical use as an artificial intelligence-assisted diagnosis tool.

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Last Update: 2022-12-30