Predicting nodal metastases in squamous cell carcinoma of the oral tongue using artificial intelligence

Lymph Node Metastases in Papillary Thyroid Carcinoma can be Predicted by a Convolutional Neural Network: a Multi-Institution Study

(2023) Antoinette Esce et al.   ANNALS OF OTOLOGY RHINOLOGY AND LARYNGOLOGY

Development and Validation of Machine Learning Models for Predicting Occult Nodal Metastasis in Early-Stage Oral Cavity Squamous Cell Carcinoma

(2022) Nathan Farrokhian et al.   JAMA Network Open

The occult nodal metastasis rate of early tongue cancer (T1–T2)

(2021) Kyu Young Choi et al.   MEDICINE

Predicting nodal metastases in papillary thyroid carcinoma using artificial intelligence

(2021) Antoinette R. Esce et al.   AMERICAN JOURNAL OF SURGERY

Deep Learning for Clinical Image Analyses in Oral Squamous Cell Carcinoma

(2021) Chui Shan Chu et al.   JAMA Otolaryngology-Head & Neck Surgery

Emerging role of deep learning‐based artificial intelligence in tumor pathology

(2020) Yahui Jiang et al.   Cancer Communications

Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network

(2020) Navarun Das et al.   NEURAL NETWORKS

Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study

(2020) Yoshiko Ariji et al.   Oral Radiology

Depth of invasion in early stage oral cavity squamous cell carcinoma: The optimal cut-off value for elective neck dissection

(2020) Cornelia G.F. van Lanschot et al.   ORAL ONCOLOGY

Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma

(2019) Andrés M. Bur et al.   ORAL ONCOLOGY

A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial

(2019) Kuo Men et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification

(2019) Yoshiko Ariji et al.   Oral Radiology

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

(2018) Pegah Khosravi et al.   EBioMedicine

Automated Classification of Skin Lesions: From Pixels to Practice

(2018) Akhila Narla et al.   JOURNAL OF INVESTIGATIVE DERMATOLOGY

Contrast-enhanced computed tomography image assessment of cervical lymph node metastasis in patients with oral cancer by using a deep learning system of artificial intelligence

(2018) Yoshiko Ariji et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

Global epidemiology of oral and oropharyngeal cancer

(2008) Saman Warnakulasuriya   ORAL ONCOLOGY