【論文閱讀筆記】Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, SvethaVenkatesh 2016 本文提出一種端到端的深度學習系統，使用CNN自動從醫療數據中提取特徵並預測未來的醫療風險。 I. Introduction Electronic medical records (EMRs)記錄了病人的診療記錄，以EMR爲核心預測病人情況的
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相關文章
- 1. 論文閱讀筆記（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 2. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation-論文筆記
- 3. 【論文閱讀筆記】ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
- 4. [論文閱讀筆記]U-Net: Convolutional Networks for Biomedical Image Segmentation
- 5. 論文閱讀筆記：《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》
- 6. 論文閱讀——R2U-Net:Recurrent Residual Convolutional Neural Network based on U-Net for Medical Image
- 7. 【論文導讀】Identify Susceptible Locations in Medical Records
- 8. UNet++ (Nested U-Net) 閱讀筆記：A Nested U-Net Architecture for Medical Image Segmentation
- 9. 【論文閱讀筆記】An Unsupervised Learning Model for Deformable Medical Image Registration
- 10. 論文閱讀——LADDERNET: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION