Prognostic significance of cyclin D1 expression pattern in HPV-negative oral and oropharyngeal carcinoma: A deep-learning approach.

Ke YangGuixin ZhuYanan SunYaying HuYinan LvYiwei LiJuncheng PanFu ChenYi ZhouJiali Zhang

Published in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2023)

Combined with the image recognition model of the cyclin D1 expression pattern, the survival prediction model had a relatively good prediction effect on the overall survival prognosis of patients with human papillomavirus-negative oral or oropharyngeal squamous cell carcinoma.

Keyphrases

deep learning
poor prognosis
squamous cell carcinoma
cell cycle
free survival
artificial intelligence
long non coding rna
convolutional neural network
lymph node metastasis
radiation therapy
signaling pathway
cell proliferation