Deep Learners and Deep Learner Descriptors for Medical Applications


Deep Learners and Deep Learner Descriptors for Medical Applications (Intelligent Systems Reference Library)
By 作者:Loris Nanni (Editor), Sheryl Brahnam (Editor), Rick Brattin (Editor)
pages 页数: 298 pages
Publisher Finelybook 出版社: Springer; 1st ed. 2020 edition (16 May 2020)
Language 语言: English
ISBN-10 书号:303042748X
ISBN-13 书号:9783030427481
Book Description to Finelybook sorting
This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) By 作者:training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) By 作者:implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) By 作者:fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) By 作者:fusing different deep learner architectures; and 5) By 作者:combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects.

本文中包含更多资源
您需要才可以下载或查看,隐藏内容需1积分,没有帐号? 捐 助 获取帐号
赞(0) 捐助
未经允许不得转载:finelybook » Deep Learners and Deep Learner Descriptors for Medical Applications
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏