《A sparse annotation strategy based on attention-guided active learning for 3D medic》--阅读笔记-Arxiv

时间 2020-12-29

标签 active learning deep learning medical image 栏目 Java 繁體版

原文原文链接

之前读过，但是没做笔记，就直接拉的其它作者的笔记了。感谢 https://blog.csdn.net/sinat_35779431/article/details/99682540 文章链接：https://arxiv.org/ftp/arxiv/papers/1906/1906.07367.pdf 译文摘要三维图像分割是医学图像处理中最重要和最普遍的问题之一。它为准确的疾病诊断，异常检测和分

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1. 《Deep Active Learning for Axon-Myelin Segmentation on Histology Data》--阅读笔记-Arxiv
2. 论文阅读笔记（四十八）：3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3. 阅读笔记：3D visual discomfort predictor based on subjective perceived-constraint sparse representation
4. 阅读论文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
5. VoxelNet：End-to-End Learning for Point Cloud Based 3D Object Detection阅读笔记
6. 阅读笔记：VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS
7. 论文阅读之　A Convex Optimization Framework for Active Learning
8. 【论文笔记】Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
9. Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation-笔记
10. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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