Accurate and robust deep learning-bast segmentation MICCAI 2019最佳論文筆記
論文標題 Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images 這是2019 MICCAI最佳論文因爲是關於超聲的文章，而我自己也是做超聲圖像的，認真讀了下從中汲取靈感。 1。文章目的： 文章主要目的是解決超聲前列腺體積分割過程
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相關文章
- 1. 論文筆記：Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. 論文筆記_S2D.18_ORBSLAM-Atlas a robust and accurate multi-map system
- 3. ORBSLAM-Atlas: a robust and accurate multi-map system論文閱讀筆記
- 4. 【論文閱讀筆記】Rich feature hierarchies for accurate object detection and semantic segmentation
- 5. 【醫學+深度論文：F18】2019 Robust optic disc and cup segmentation with deep learning for glaucoma detection
- 6. 論文：Rich feature hierarchies for accurate object detection and semantic segmentation 個人筆記
- 7. 論文筆記：Rich feature hierarchies for accurate object detection and semantic segmentation(R-CNN)
- 8. 《FRTM：Learning Fast and Robust Target Models for Video Object Segmentation》論文筆記
- 9. [MICCAI 2019] Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip B
- 10. 論文：Scalable and accurate deep learning for electronic health records研讀筆記