MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation

Segmentation of lung airways based on deep learning methods

(2022) Wenjun Tan et al.   IET Image Processing

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network

(2021) Lei Wang et al.   PATTERN RECOGNITION

MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT

(2021) Jinzhu Yang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors

(2020) Yutong Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation

(2020) Qian Yu et al.   PATTERN RECOGNITION

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

(2019) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

(2019) Zongwei Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS