Classification of diabetic retinopathy based on improved deep forest model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Classification of diabetic retinopathy based on improved deep forest model

Published:2023-01 Issue: Volume:79 Page:104020
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Qin Xiwen,Chen Dongxue,Zhan Yichang,Yin Dongmei

Funder

Education Department of Jilin Province

Department of Science and Technology of Jilin Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference26 articles.

1. Z. H. Zhou, J. Feng, Deep Forest: Towards An Alternative to Deep Neural Networks. 2017.https://arxiv.org/abs/1702.08835v2.

2. BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data;Yang;BMC Bioinf.,2018

3. A deep forest classifier with weights of class probability distribution subsets;Utkin;Knowl.-Based Syst.,2019

4. L. Yang, X. Z. Wu, Y. Jiang, et al., Multi-Label Learning with Deep Forest. 2019. https://arxiv.org/abs/1911.06557v1.

5. A Siamese Deep Forest;Utkin;Knowl.-Based Syst.,2018

Cited by 10 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. Automated Analysis Of Diabetic Vasculopathy Using Semantic Segmentation Of Thermal Images Of Peroneal Vessel;Data and Metadata;2024-08-29

2. APDF: An active preference-based deep forest expert system for overall survival prediction in gastric cancer;Expert Systems with Applications;2024-07

3. Adaptive feature selection for active trachoma image classification;Knowledge-Based Systems;2024-06

4. Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning;Heliyon;2024-05

5. Retina images classification based on 2D empirical mode decomposition and multifractal analysis;Heliyon;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3