2022
DOI: 10.1002/cam4.5343
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Prediction of cervical lymph node metastasis from immunostained specimens of tongue cancer using a multilayer perceptron neural network

Abstract: Background Although cervical lymph node metastasis is an important prognostic factor for oral cancer, occult metastases remain undetected even by diagnostic imaging. We developed a learning model to predict lymph node metastasis in resected specimens of tongue cancer by classifying the level of immunohistochemical (IHC) staining for angiogenesis‐ and lymphangiogenesis‐related proteins using a multilayer perceptron neural network (MNN). Methods We obtained a dataset of 76 patients with squamous cell carcinoma o… Show more

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Cited by 5 publications
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“…The application of immunohistochemistry and immunofluorescence for studying oral cancer behavior is widely known [48]. Biomarker expression analysis through quantitative digital techniques facilitates the interpretation of their possible implication, whether there is the expression or not in the pathological digital images.…”
Section: Role Of Ai In Immunofluorescence and Immunohistochemistry Or...mentioning
confidence: 99%
“…The application of immunohistochemistry and immunofluorescence for studying oral cancer behavior is widely known [48]. Biomarker expression analysis through quantitative digital techniques facilitates the interpretation of their possible implication, whether there is the expression or not in the pathological digital images.…”
Section: Role Of Ai In Immunofluorescence and Immunohistochemistry Or...mentioning
confidence: 99%