Deep Learning for Health Informatics
Deep Learning for Health Informatics 這篇文章的整體思路如下所示，非常清爽直觀！ 健康信息學領域5個大方向的發展趨勢 可以看到Imaging隨着深度學習當中CNN的迅猛發展在健康信息學中也是突飛猛進，主要得益於其他在自然圖片中成熟的模型在醫學圖像中得到了一個應用。 5種常用模型應用發展趨勢 可以看到RNN的比重不斷減小，CNN突飛猛進。 現階段常用的幾種深度學習
相關文章
- 1. Deep Learning for Health Informatics
- 2. 【論文閱讀筆記】Deep Learning for Health Informatics
- 3. 【論文導讀】Scalable and Accurate Deep Learning for Electronic Health Records
- 4. 論文：Scalable and accurate deep learning for electronic health records研讀筆記
- 5. Smart Health 2015 Call for Papers
- 6. International Conference for Smart Health 2015 Call for Papers
- 7. Deep Learning for Information Retrieval
- 8. [Bayes] *Bayesian Deep Learning for Transparency Improvement
- 9. ResNet--Deep Residual Learning for Image Recognition
- 10. [ResNet]Deep Residual Learning for Image Recognition
- 更多相關文章...
- • Swift for 循環 - Swift 教程
- • Scala for循環 - Scala教程
- • Java Agent入門實戰（三）-JVM Attach原理與使用
- • Java Agent入門實戰（一）-Instrumentation介紹與使用
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Deep Learning for Health Informatics
- 2. 【論文閱讀筆記】Deep Learning for Health Informatics
- 3. 【論文導讀】Scalable and Accurate Deep Learning for Electronic Health Records
- 4. 論文：Scalable and accurate deep learning for electronic health records研讀筆記
- 5. Smart Health 2015 Call for Papers
- 6. International Conference for Smart Health 2015 Call for Papers
- 7. Deep Learning for Information Retrieval
- 8. [Bayes] *Bayesian Deep Learning for Transparency Improvement
- 9. ResNet--Deep Residual Learning for Image Recognition
- 10. [ResNet]Deep Residual Learning for Image Recognition