Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning.

Abstract

Authors

• Linyan Wang
  Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
• Longqian Ding
  Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China.
• Zhifang Liu
  Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
• Lingling Sun
  Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China; Zhejiang Provincial Laboratory of Integrated Circuits Design, Hangzhou Dianzi University, Hangzhou 310018, China.
• Lirong Chen
  Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
• Renbing Jia
  Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
• Xizhe Dai
  Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
• Jing Cao
  Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, People's Republic of China.
• Juan Ye
  Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Keywords

External Resources