Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed Tomography in Patients with Oral Squamous Cell Carcinoma

Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed Tomography in Patients with Oral Squamous Cell Carcinoma

<b> </b>We investigated the value of deep learning (DL) in differentiating between benign and metastatic cervical lymph nodes (LNs) using pretreatment contrast-enhanced computed tomography (CT). This retrospective study analyzed 86 metastatic and 234 benign (non-metastatic) cervical LNs...

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Bibliographic Details
Main Authors: Hayato Tomita, Tsuneo Yamashiro, Joichi Heianna, Toshiyuki Nakasone, Tatsuaki Kobayashi, Sono Mishiro, Daisuke Hirahara, Eichi Takaya, Hidefumi Mimura, Sadayuki Murayama, Yasuyuki Kobayashi
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Cancers
Subjects:
deep learning
cervical lymph node
convolutional neural network
level
squamous cell carcinoma.
Online Access:https://www.mdpi.com/2072-6694/13/4/600

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