Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis

时间 2021-01-12

标签多模分割繁體版

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MICCAI2019 多模分割相关论文笔记 Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis 这篇文章主要用多视图深度学习方法，通过阴道镜检查的图像数据（醋酸图像和碘图像）进行多角度的诊断（CDD）。分析多视图医学图像数据的主要挑战是，如何有效地利用这些视图之间的有意义的相关性。作者开发了

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1. Multi-Level Feature Fusion Mechanism for Single Image Super-Resolution
2. Learning Pixel-level segmantic affinity with image-level supervision for weakly supervised segmentat
3. [TMI2019-10]Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-M
4. Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multiview Learning
5. 文献 Application of deep learning tothe diagnosis of cervical lymph node metastasis from thyroid阅读笔记
6. Hyperspectral Image Classification With Deep Feature Fusion Network
7. Learning-Pixel-level-Semantic-Affinity-with-Image-level-Supervision
8. Feature Re-Learning with Data Augmentation for Content-based Video Recommendation简介
9. Effective Feature Learning with Unsupervised Learning in MOOCs
10. AugFPN: Improving Multi-scale Feature Learning for Object Detection

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