Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images.

Journal: Archives of pathology & laboratory medicine

PMID: 38387604

Abstract

CONTEXT.—: Squamous cell carcinoma (SCC) is a histologic type of cancer that exhibits various degrees of keratinization. Identifying lymph node metastasis in SCC is crucial for prognosis and treatment strategies. Although artificial intelligence (AI) has shown promise in cancer prediction, applications specifically targeting SCC are limited.

Authors

Makoto Abe

Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Fahdi Kanavati

Medmain Research, Medmain Inc., Fukuoka, 810-0042, Japan.
Masayuki Tsuneki

Medmain Research, Medmain Inc., Fukuoka, 810-0042, Japan. tsuneki@medmain.com.

Keywords

Carcinoma, Squamous Cell Deep Learning Humans Lymph Node Excision Lymph Nodes Lymphatic Metastasis ROC Curve

External Resources

View on PubMed Access via DOI PubMed (38387604)

Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images.

Abstract

Authors

Keywords

External Resources

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