Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

Journal: International journal of medical informatics
PMID:

Abstract

PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.

Authors

  • Zhongwei Zhou
    Department of Oral and Maxillofacial Surgery, General Hospital of Ningxia Medical University, Yinchuan, P.R. China; Institution of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, P.R. China. Electronic address: zzwjoel@hotmail.com.
  • Jiawen Xue
    Ningxia Medical University, Ningxia Key Laboratory of Oral Disease Research, Yinchuan, P.R. China.
  • Yue Wu
    Key Laboratory of Luminescence and Real-Time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.
  • Jingjing Mao
    Department of Anesthesiology, Huai'an Hospital Affiliated to Yangzhou University (The Fifth People's Hospital of Huai'an), Huaian, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Xianghai Yu
    Department of Stomatology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical Universityl, No. 301, Zhengyuan North Street, Jinfeng District, Yinchuan, Ningxia 750001, P.R. China. Electronic address: 360942762@qq.com.
  • Changping Ma
    Department of Oral and Maxillofacial Surgery, General Hospital of Ningxia Medical University, No. 804, Sheng Li South Road, Yinchuan, Ningxia 750004, P.R. China. Electronic address: mcp990218@163.com.
  • Guizhi Zhao
    Department of Stomatology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical Universityl, No. 301, Zhengyuan North Street, Jinfeng District, Yinchuan, Ningxia 750001, P.R. China. Electronic address: zhaogz040@163.com.