Application of deep learning radiomics in oral squamous cell carcinoma–Extracting more information from medical images using advanced feature analysis-Reference-Cited by-同舟云学术

Application of deep learning radiomics in oral squamous cell carcinoma–Extracting more information from medical images using advanced feature analysis

Published:2024-06 Issue:3 Volume:125 Page:101840
ISSN:2468-7855
Container-title:Journal of Stomatology, Oral and Maxillofacial Surgery
language:en
Short-container-title:Journal of Stomatology, Oral and Maxillofacial Surgery

Author:

Li Chenxi^ORCID,Chen Xinya,Chen Cheng,Gong Zhongcheng,Pataer Parekejiang,Liu Xu,Lv Xiaoyi

Publisher

Elsevier BV

Reference48 articles.

1. Porphyromonas gingivalis activation of tumor-associated macrophages via DOK3 promotes recurrence of oral squamous cell carcinoma;Li;Med Sci Monit,2022

2. Effect of prophylactic placement of percutaneous endoscopic gastrostomy on the surgical prognosis in patients with oral cancer: a pilot study;Li;J Craniofac Surg,2024

3. Effect of prognostic factors of postoperative radiotherapy in oral squamous cell carcinoma: a SEER-based study;Li;Ear Nose Throat J,2023

4. Radiomics: extracting more information from medical images using advanced feature analysis;Lambin;Eur J Cancer,2012

5. A meta-analysis of the pros and cons of partial superficial parotidectomy versus superficial parotidectomy for the treatment of benign parotid neoplasms;Li;J Craniomaxillofac Surg,2020

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