用于AS-OCT组织分割的宏观-微观弱监督学习框架
【2020 MICCAI】Instance-aware Self-supervised Learning for Nuclei Segmentation
实例级自监督学习核分割
【2020 MICCAI】Learning Directional Feature Maps for Cardiac MRI Segmentation
用于心脏MRI分割的方向特征图学习
【2020】Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
基于注意力的组织病理图像自监督细胞核分割
【2019 ICCV】Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
学习特定粒度专家的混合物以进行细粒度分类
【2020 MICCCAI】Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
通用损失重新加权以平衡3D医学图像分割中的病变大小不平等
【2018】Bag of Tricks for Image Classification with Convolutional Neural Networks
使用卷积神经网络进行图像分类的技巧包
【2020】ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
ClassMix:基于分割的半监督学习数据增强
【2019 ICCV】CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
CutMix:正则化策略来训练具有可局部化的强大分类器
【2019 NeurIPS】MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch:半监督学习的整体方法