首页> 外文OA文献 >Fully-automatic deep learning-based analysis for determination of the invasiveness of breast cancer cells in an acoustic trap

【2h】

Fully-automatic deep learning-based analysis for determination of the invasiveness of breast cancer cells in an acoustic trap

机译：基于深度学习的基于深度学习分析，用于测定声学陷阱中乳腺癌细胞侵袭性的侵袭性分析

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Sangyeon Youn; Kyungsu Lee; Jeehoon Son; In-Hwan Yang; Jae Youn Hwang;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Acoustic Trapping Technique for Studying Calcium Response of a Suspended Breast Cancer Cell: Determination of Its Invasion Potentials [J] . Youn Sangyeon, Choi Jin Woo, Lee Jun Su, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control . 2019,第4期

机译：声学捕获技术研究悬浮的乳腺癌细胞的钙反应：侵袭潜力的确定。
2. Acoustic Trapping Technique for Studying Calcium Response of a Suspended Breast Cancer Cell: Determination of Its Invasion Potentials [J] . Youn Sangyeon, Choi Jin Woo, Lee Jun Su, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control . 2019,第4期

机译：用于研究悬浮乳腺癌细胞钙响应的声学诱捕技术：其侵袭潜力的测定
3. Investigation of cell mechanics using single-beam acoustic tweezers as a versatile tool for the diagnosis and treatment of highly invasive breast cancer cell lines an in vitro study [J] . Hae Gyun Lim, Hsiao-Chuan Liu, Chi Woo Yoon, Microsystems & Nanoengineering . 2020,第1期

机译：用单梁声学镊子对诊断和治疗高度侵入性乳腺癌细胞系的多功能工具进行调查
4. High-frequency ultrasound microbeam induced calcium elevations in cancer Cells: discrimination between invasive and non-invasive breast cancer cells [C] . Jae Youn Hwang, Nan Sook Lee, Changyang Lee, International Ultrasonics Symposium . 2012

机译：高频超声波微观诱导癌细胞中的钙升高：侵入性和非侵入性乳腺癌细胞之间的歧视
5. Arachidonic Acid Signaling in Invasive and Non-Invasive Breast Cancer Cells. [D] . Roy, Debarshi. 2012

机译：有创和无创乳腺癌细胞中的花生四烯酸信号传导。
6. Fully-automatic deep learning-based analysis for determination of the invasiveness of breast cancer cells in an acoustic trap [O] . Sangyeon Youn, Kyungsu Lee, Jeehoon Son, 2020

机译：基于全自动深度学习的分析用于确定声阱中乳腺癌细胞的侵袭性
7. Analysis of exosome-derived microRNAs reveals insights of intercellular communication during invasion of breast, prostate and glioblastoma cancer cells [O] . Francesca Lessi, Paolo Aretini, Milena Rizzo, 2021

机译：外渗微小RNA的分析揭示了在乳腺癌，前列腺和胶质母细胞瘤癌细胞中的细胞间通信的见解
8. In Vivo Analysis of Alternative Modes of Breast Cancer Cell Invasion [R] . White, D. E. 2010

机译：乳腺癌细胞侵袭的替代模式的体内分析

Fully-automatic deep learning-based analysis for determination of the invasiveness of breast cancer cells in an acoustic trap

著录项

引文网络

相似文献

相关主题

期刊订阅