Performance analysis of lung cancer detection and classification using efficientNet: a deep learning model
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19990-3.pdf
Reference22 articles.
1. Asuntha A, Andy S (2020) Deep learning for lung cancer detection and classifications. Multimed Tool Appl 79:7731–7762. https://doi.org/10.1007/s11042-019-08394-3
2. Singh GAP, Gupta PK (2019) Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans. Neural Comput & Applic 31:6863–6877. https://doi.org/10.1007/s00521-018-3518-x
3. Marjolein AH et al (2021) Lung cancer predictions by Deep Learning to identify benign lung nodule. Lung Canc 154:1–4
4. Divyesh B, Amit KT, Vijayarajan V, Krishnamoorthy A (2017) Classification of normal and abnormal images of lung cancer. IOP Conf. Ser Mater Sci Eng 263:042100
5. Lakshmanaprabu SK, Sachi NM, Shankar K, Arunkumar N, Gustavo R (2019) Optimal deep learning model for classifications of lung cancer on CT images. Fut Gen Comput 92:374–382
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