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

Author:

Esce Antoinette R.,Baca Andrewe L.,Redemann Jordan P.,Rebbe Ryan W.,Schultz Fred,Agarwal Shweta,Hanson Joshua A.,Olson Garth T.,Martin David R.,Boyd Nathan H.

Publisher

Elsevier BV

Subject

Otorhinolaryngology

Reference22 articles.

1. A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: a retrospective study;Fu;eClinicalMedicine.,2020

2. Deep learning for clinical image analyses in oral squamous cell carcinoma: a review;Chu;JAMA Otolaryngol Neck Surg,2021

3. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features;Xu;BMC Bioinformatics,2017

4. A deep learning model for predicting xerostomia due to radiation therapy for head and neck squamous cell carcinoma in the RTOG 0522 clinical trial;Men;Int J Radiat Oncol Biol Phys,2019

5. Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer;Folmsbee,2018

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