An enhanced method of feature fusion techniques to diagnosis neonatal hyperbilirubinemia

Author:

Nayagi S. Bharani,Angel T. S. Shiny

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference37 articles.

1. Alken J, Stellan H (2021) Rates of extreme neonatal hyperbilirubinemia and kernicterus in children and adherence to national guidelines for screening, diagnosis, and treatment in Sweden|Guidelines|JAMA Network Open|JAMA Network.” https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2728619. Accessed 25 Oct 2021

2. Anter AM, Bhattacharyya S, Zhang Z (2020) Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. Appl Soft Comput 96:106677

3. Aruna Devi B, Pallikonda Rajasekaran M (2019) Performance evaluation of MRI pancreas image classification using artificial neural network (ANN). In: Satapathy SC, Bhateja V, Das S (eds) Smart intelligent computing and applications, vol 104. Springer Singapore, Singapore, pp 671–681

4. Balakrishnan K, Dhanalakshmi R, Khaire UM (2021) Improved salp swarm algorithm based on the levy flight for feature selection. J Supercomput 77(11):12399–12419

5. Behrouzian Nejad M, Ebrahim Shiri M (2019) A new enhanced learning approach to automatic image classification based on salp swarm algorithm. Comput Syst Sci Eng 34(2):91–100. https://doi.org/10.32604/csse.2019.34.091

Cited by 1 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. Capsule-CRF Fusion: An Efficient & Novel Method for Precise Skin Lesion Localization and Boundary Estimations;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

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