Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories
Author:
Affiliation:
1. Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China
Funder
National Natural Science Foundation of China
Science and Technology Department of Sichuan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/10003062/09906105.pdf?arnumber=9906105
Reference40 articles.
1. A Tutorial on Multilabel Learning
2. On label dependence and loss minimization in multi-label classification
3. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
4. Rethinking the Inception Architecture for Computer Vision
5. Focal Loss for Dense Object Detection
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. Granular Correlation-based Label-specific Feature Augmentation for Multi-label Classification;Information Sciences;2024-09
2. ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging;IEEE Journal of Biomedical and Health Informatics;2024-08
3. Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive–symbiotic correlation between 254 hierarchical multiple labels;npj Cardiovascular Health;2024-07-02
4. Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning;Computers in Biology and Medicine;2024-06
5. MSFA: Multi‐stage feature aggregation network for multi‐label image recognition;IET Image Processing;2024-03-25
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