A rotation meanout network with invariance for dermoscopy image classification and retrieval-Reference-Cited by-同舟云学术

A rotation meanout network with invariance for dermoscopy image classification and retrieval

Published:2022-12 Issue: Volume:151 Page:106272
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Zhang Yilan,Xie Fengying,Song Xuedong,Zhou Hangning,Yang Yiguang,Zhang Haopeng^ORCID,Liu Jie^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference57 articles.

1. Microneedle-mediated transdermal drug delivery for treating diverse skin diseases;Yang;Acta Biomater.,2021

2. Cancer statistics, 2019;Siegel;CA: Cancer J. Clin.,2019

3. Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: A meta-analysis of studies performed in a clinical setting;Vestergaard;Br. J. Dermatol.,2008

4. Diagnostic accuracy of dermoscopy;Kittler;Lancet Oncol.,2002

5. Multi-classification of skin diseases for dermoscopy images using deep learning;Zhou,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Consistency-guided lightweight network for semi-supervised binary change detection of buildings in remote sensing images;GIScience & Remote Sensing;2023-09-19

2. Deep learning system assisted detection and localization of lumbar spondylolisthesis;Frontiers in Bioengineering and Biotechnology;2023-07-19

3. Ensemble Learning, Deep Learning-Based and Molecular Descriptor-Based Quantitative Structure–Activity Relationships;Molecules;2023-03-06