Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study.

Abstract

Authors

• Mei Ling Xiao
  Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
• Ting Qian
  Department of Radiology, International Peace Maternity and Child Health Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
• Le Fu
  Department of Radiology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address: fule0125@qq.com.
• Yan Wei
  Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang R &D Center for Food Technology and Equipment, Fuli Institute of Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China.
• Feng Hua Ma
  Department of Radiology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China.
• Wei Yong Gu
  Department of Pathology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China.
• Hai Ming Li
  Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Rd, Shanghai 200032, China.
• Yong Ai Li
  Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
• Zhao Xia Qian
  Department of Radiology, International Peace Maternity and Child Health Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
• Jie Jun Cheng
  Department of Radiology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
• Guo Fu Zhang
  Department of Radiology, Obstetrics & Gynecology Hospital, Fudan University, Shanghai, China.
• Jin Wei Qiang
  Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.

Keywords

External Resources