Cancer Diagnosis With the Aid of Artificial Intelligence Modeling Tools

Author:

Danku Alex Ede1ORCID,Dulf Eva H.1ORCID,Banut Raul Petru1,Silaghi Horatiu2,Silaghi Cristina Alina3

Affiliation:

1. Department of Automation, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

2. Department of Surgery V, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania

3. Department of Endocrinology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania

Funder

Romanian Ministry of Research and Innovation, CCCDI—Executive Unit for the Financing of Higher Education, Research, Development and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference63 articles.

1. Efficient colon cancer grading with graph neural networks;lippoldt;arXiv 2010 01091,2020

2. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

3. A comparative study on polyp classification using convolutional neural networks

4. Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images

5. Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images;swiderska-chadaj;Proc MIDL,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. The Quantification of Myocardial Fibrosis on Human Histopathology Images by a Semi-Automatic Algorithm;Applied Sciences;2024-08-31

2. Computer-Assisted Algorithm for Quantification of Fibrosis by Native Cardiac CT: A Pilot Study;Journal of Clinical Medicine;2024-08-15

3. Interdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns;Systems;2024-03-28

4. Detection of Breast Cancer through the Analysis of Radiographic Images Using Machine Learning: A Systematic Review;International Journal of Online and Biomedical Engineering (iJOE);2024-03-15

5. Smart Tool for Earlier Prediction of Breast Cancer Using AI;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

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