Breast Cancer Prediction on BreakHis Dataset Using Deep CNN and Transfer Learning Model
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2641-8_8
Reference19 articles.
1. Breast Cancer. http://www.who.int/cancer/prevention/diagnosis-screening/breast-cancer/en/
2. Wang L (2017) Early diagnosis of breast cancer. Sensors17(1572):1–20
3. Elmore JG, Longton GM, Carney PA, Geller BM, Onega T, Tosteson AN, O’Malley FP (2015) Diagnostic concordance among pathologists interpreting breast biopsy specimens. JAMA 313(11):1122–1132
4. Obulesu O, Mahendra M, ThrilokReddy M (2018). Machine learning techniques and tools: a survey. In: 2018 international conference on inventive research in computing applications (ICIRCA). IEEE, pp 605–611. (July 2018)
5. Spanhol FA, Oliveira LS, Petitjean C, Heutte L (2016) A dataset for breast cancer histopathological image classification. IEEE Trans Biomed Eng 63:1455–1462. https://doi.org/10.1109/TBME.2015.2496264
Cited by 15 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. An improved breast cancer classification with hybrid chaotic sand cat and Remora Optimization feature selection algorithm;PLOS ONE;2024-04-11
2. TTDCapsNet: Tri Texton-Dense Capsule Network for complex and medical image recognition;PLOS ONE;2024-03-15
3. Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network;Multimedia Tools and Applications;2024-02-17
4. Breast Cancer Diagnosis from Histopathological Images of Benign and Malignant Tumors Using Deep Convolutional Neural Networks;EAI/Springer Innovations in Communication and Computing;2024
5. PLA—A Privacy-Embedded Lightweight and Efficient Automated Breast Cancer Accurate Diagnosis Framework for the Internet of Medical Things;Electronics;2023-12-07
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