SNSVM: SqueezeNet-Guided SVM for Breast Cancer Diagnosis-Reference-Cited by-同舟云学术

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SNSVM: SqueezeNet-Guided SVM for Breast Cancer Diagnosis

Published:2023 Issue:2 Volume:76 Page:2201-2216
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Wang Jiaji,Attique Khan Muhammad,Wang Shuihua,Zhang Yudong

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v76n2/54027/pdf

Cited by 2 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. Revolutionizing Breast Cancer Care: AI-Enhanced Diagnosis and Patient History;Computer Methods in Biomechanics and Biomedical Engineering;2024-01-04

2. Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101;International Journal of System Assurance Engineering and Management;2023-12-26

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