Efficacy of texture analysis of ultrasonographic images in the differentiation of metastatic and non-metastatic cervical lymph nodes in patients with squamous cell carcinoma of the tongue
Author:
Publisher
Elsevier BV
Subject
Radiology, Nuclear Medicine and imaging,Dentistry (miscellaneous),Pathology and Forensic Medicine,Oral Surgery,Surgery
Reference51 articles.
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2. Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma;Yuan;Eur Radiol,2021
3. Influence of extracapsular nodal spread extent on prognosis of oral squamous cell carcinoma;Wreesmann;Head Neck,2016
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1. Using texture analysis of ultrasonography images of neck lymph nodes to differentiate metastasis to non-metastasis in oral maxillary gingival squamous cell carcinoma;Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology;2024-08
2. Texture analysis of ultrasonography to differentiate metastatic from nonmetastatic cervical lymph nodes in mandibular gingival squamous cell carcinoma;Oral Science International;2024-06-27
3. Deep Texture Analysis—Enhancing CT Radiomics Features for Prediction of Head and Neck Cancer Treatment Outcomes: A Machine Learning Approach;Radiation;2024-02-28
4. Metastatic Lymph Node Detection on Ultrasound Images Using YOLOv7 in Patients with Head and Neck Squamous Cell Carcinoma;Cancers;2024-01-08
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