• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Yuliang, Shi (Yuliang, Shi.) | Xin, Zheng (Xin, Zheng.)

Indexed by:

EI Scopus

Abstract:

In order to overcome the limitations of traditional methods for detecting melanoma in dermoscopy images, a novel method based on deep learning for melanoma detection in dermoscopy images is proposed in this paper. This detection method combines deep learning method, realizes the combination of deep learning method and traditional detection method of melanoma in dermoscopy image, and fully utilizes the advantages of convolution neural network, residual network and transfer learning. The results show that the detection method has strong feasibility and can effectively improve the accuracy of melanoma detection in dermoscopy images. © 2020 IEEE.

Keyword:

Image enhancement Transfer learning Dermatology Deep learning Oncology Learning systems Diagnosis

Author Community:

  • [ 1 ] [Yuliang, Shi]Beijing University of Technology, School of Software Engineering, Beijing; 100124, China
  • [ 2 ] [Xin, Zheng]Beijing University of Technology, School of Software Engineering, Beijing; 100124, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2020

Page: 100-103

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 22

Affiliated Colleges:

Online/Total:668/10696665
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.