最新！CVPR 2021 医学图像分割论文大盘点（5篇论文）

AI/CV重磅干货，第一时间送达

前言

昨天分享了MICCAI 2021上Transformer+医学图像分割的工作，看来大家很喜欢：

CVer 继续盘点CVPR 2021上各个方向的工作，本篇的主题是：医学图像分割，之前已分享：

关于更多CVPR 2021的论文和开源代码，可见下面链接：

https://github.com/amusi/CVPR2021-Papers-with-Code

CVPR 2021 医学图像分割论文（5篇）

1. Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling

Paper(Best Paper Candidate): https://openaccess.thecvf.com/content/CVPR2021/html/Ji_Learning_Calibrated_Medical_Image_Segmentation_via_Multi-Rater_Agreement_Modeling_CVPR_2021_paper.html Code: https://github.com/jiwei0921/MRNet/

2. Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation

Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Reiss_Every_Annotation_Counts_Multi-Label_Deep_Supervision_for_Medical_Image_Segmentation_CVPR_2021_paper.html Code: None

3. FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Paper: https://arxiv.org/abs/2103.06030 Code: https://github.com/liuquande/FedDG-ELCFS

4. DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation

Paper(Oral): https://arxiv.org/abs/2103.15954 Code: None

5. DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Hsu_DARCNN_Domain_Adaptive_Region-Based_Convolutional_Neural_Network_for_Unsupervised_Instance_CVPR_2021_paper.html Code: None

AI/CV重磅干货，第一时间送达 前言 昨天分享了MICCAI 2021上Transformer+医学图像分割的工作，看来大家很喜欢： CVer 继续盘点CVPR 2021上各个方向的工作，本篇的主题是：医学图像分割，之前已分享： 关于更多CVPR 2021的论文和开源代码，可见下面链接： https://github.com/amusi/CVPR2021-Papers-with-Code CVPR 2021 医学图像分割论文（5篇） 1. Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling Paper(Best Paper Candidate): https://openaccess.thecvf.com/content/CVPR2021/html/Ji_Learning_Calibrated_Medical_Image_Segmentation_via_Multi-Rater_Agreement_Modeling_CVPR_2021_paper.html Code: https://github.com/jiwei0921/MRNet/ 2. Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Reiss_Every_Annotation_Counts_Multi-Label_Deep_Supervision_for_Medical_Image_Segmentation_CVPR_2021_paper.html Code: None 3. FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Paper: https://arxiv.org/abs/2103.06030 Code: https://github.com/liuquande/FedDG-ELCFS 4. DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation Paper(Oral): https://arxiv.org/abs/2103.15954 Code: None 5. DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images Paper: https://openaccess.thecvf.com/content/CVPR2021/html/Hsu_DARCNN_Domain_Adaptive_Region-Based_Convolutional_Neural_Network_for_Unsupervised_Instance_CVPR_2021_paper.html Code: None