Deep Active Contour Network for Medical Image Segmentation

Deep Active Contour Network for Medical Image Segmentation

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 4
1. Verfasser: Zhang, Mo (VerfasserIn)
Weitere Verfasser: Dong, Bin (VerfasserIn), Li, Quanzheng (VerfasserIn)
Pages:2020
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression 2020 Cai, Jinzheng
CircleNet: Anchor-Free Glomerulus Detection with Circle Representation 2020 Yang, Haichun
Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic Images 2020 Boot, Thomas
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation 2020 Dong, Shunjie
Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets 2020 Huang, Rui
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling 2020 Dai, Chengliang
Learning 3D Features with 2D CNNSs via Surface Projection for CT Volume Segmentation 2020 Song, Youyi
Revisiting Rubik’s Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation 2020 Tao, Xing
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data 2020 Wickramasinghe, Udaranga
Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing 2020 Song, Youyi
Learning Crisp Edge Detector Using Logical Refinement Network 2020 Liu, Luyan
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach 2020 Liu, Qi
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation 2020 Zhu, Wentao
Orchestrating Medical Image Compression and Remote Segmentation Networks 2020 Liu, Zihao
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs 2020 Jacenków, Grzegorz
SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos 2020 Ni, Haomiao
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images 2020 Jia, Haozhe
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks 2020 Uzunova, Hristina
One Click Lesion RECIST Measurement and Segmentation on CT Scans 2020 Tang, Youbao
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI 2020 Rosa, Francesco La
Alle Artikel auflisten