...
首页> 外文期刊>Journal of X-ray science and technology >Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning
【24h】

Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning

机译:肺结结分类的深层CNN模型:模型修改,模型集成和转移学习

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
机译:背景:深度学习在分析自然图像方面取得了壮观的成就,但由于图像不足,它面临了医学应用的挑战。

著录项

  • 来源
  • 作者单位

    Northeastern Univ Sino Dutch Biomed &

    Informat Engn Sch 195 Chuangxin Ave Shenyang 110169 Liaoning Peoples R China;

    Northeastern Univ Sino Dutch Biomed &

    Informat Engn Sch 195 Chuangxin Ave Shenyang 110169 Liaoning Peoples R China;

    Northeastern Univ Sino Dutch Biomed &

    Informat Engn Sch 195 Chuangxin Ave Shenyang 110169 Liaoning Peoples R China;

    Northeastern Univ Sino Dutch Biomed &

    Informat Engn Sch 195 Chuangxin Ave Shenyang 110169 Liaoning Peoples R China;

    Northeastern Univ Sino Dutch Biomed &

    Informat Engn Sch 195 Chuangxin Ave Shenyang 110169 Liaoning Peoples R China;

    Northeastern Univ Sino Dutch Biomed &

    Informat Engn Sch 195 Chuangxin Ave Shenyang 110169 Liaoning Peoples R China;

    Univ Texas El Paso Border Biomed Res Ctr El Paso TX 79968 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    Convolutional neural networks; deep learning; lung cancer; nodule classification; transfer learning;

    机译:卷积神经网络;深入学习;肺癌;结核分类;转移学习;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号