Related references
Note: Only part of the references are listed.Joint Segmentation of Multi-Class Hyper-Reflective Foci in Retinal Optical Coherence Tomography Images
Chenpu Yao et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Nabil Ibtehaz et al.
NEURAL NETWORKS (2020)
ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation
Chen Li et al.
COMPUTERS & GRAPHICS-UK (2020)
UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans
Qiangguo Jin et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)
DA-Capnet: Dual Attention Deep Learning Based on U-Net for Nailfold Capillary Segmentation
Yuli Sun Hariyani et al.
IEEE ACCESS (2020)
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
Xiaomeng Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
Neeraj Kumar et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
Share Paper
