• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

更正：基于卷积神经网络的多视图分类

Correction: Multi-view classification with convolutional neural networks.

出版信息

PLoS One. 2021 Apr 8;16(4):e0250190. doi: 10.1371/journal.pone.0250190. eCollection 2021.

DOI:10.1371/journal.pone.0250190
PMID:33831129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8031445/
Abstract

[This corrects the article DOI: 10.1371/journal.pone.0245230.].

摘要

[本文更正了文章的数字对象标识符：10.1371/journal.pone.0245230。]

相似文献

1
Correction: Multi-view classification with convolutional neural networks.更正：基于卷积神经网络的多视图分类
PLoS One. 2021 Apr 8;16(4):e0250190. doi: 10.1371/journal.pone.0250190. eCollection 2021.
2
Correction: Detection and measurement of butterfly eyespot and spot patterns using convolutional neural networks.更正：使用卷积神经网络检测和测量蝴蝶眼斑及斑点图案
PLoS One. 2023 Nov 17;18(11):e0294793. doi: 10.1371/journal.pone.0294793. eCollection 2023.
3
Correction: Acral melanoma detection using a convolutional neural network for dermoscopy images.更正：使用卷积神经网络对皮肤镜图像进行肢端黑色素瘤检测。
PLoS One. 2018 Apr 24;13(4):e0196621. doi: 10.1371/journal.pone.0196621. eCollection 2018.
4
Correction: Modelling innovation performance of European regions using multi-output neural networks.更正：使用多输出神经网络对欧洲地区的创新绩效进行建模。
PLoS One. 2017 Dec 8;12(12):e0189746. doi: 10.1371/journal.pone.0189746. eCollection 2017.
5
Correction: Individual dairy cow identification based on lightweight convolutional neural network.更正：基于轻量级卷积神经网络的个体奶牛识别
PLoS One. 2024 Jul 11;19(7):e0307252. doi: 10.1371/journal.pone.0307252. eCollection 2024.
6
Correction: Artificial neural networks reveal individual differences in metacognitive monitoring of memory.更正：人工神经网络揭示了记忆元认知监测中的个体差异。
PLoS One. 2019 Sep 12;14(9):e0222644. doi: 10.1371/journal.pone.0222644. eCollection 2019.
7
Correction: The evolution of cost-efficiency in neural networks during recovery from traumatic brain injury.更正：创伤性脑损伤恢复过程中神经网络成本效率的演变。
PLoS One. 2018 Oct 12;13(10):e0206005. doi: 10.1371/journal.pone.0206005. eCollection 2018.
8
Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.更正：使用人工神经网络预测30天再入院的全因风险。
PLoS One. 2018 May 17;13(5):e0197793. doi: 10.1371/journal.pone.0197793. eCollection 2018.
9
Correction: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing.更正：基于张量分解的无监督特征提取应用于矩阵乘积以进行多视图数据处理。
PLoS One. 2018 Jul 18;13(7):e0200451. doi: 10.1371/journal.pone.0200451. eCollection 2018.
10
3D multi-view convolutional neural networks for lung nodule classification.用于肺结节分类的3D多视图卷积神经网络。
PLoS One. 2017 Nov 16;12(11):e0188290. doi: 10.1371/journal.pone.0188290. eCollection 2017.

本文引用的文献

1
Multi-view classification with convolutional neural networks.基于卷积神经网络的多视图分类。
PLoS One. 2021 Jan 12;16(1):e0245230. doi: 10.1371/journal.pone.0245230. eCollection 2021.