Concepedia

ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images

An Zeng, Chunbiao Wu, Guisen Lin, Wen Xie, Jin Hong, Huang Meiping, Jian Zhuang, Shanshan Bi, Dan Pan, Najeeb Ullah,

Computerized Medical Imaging and Graphics · 2023 · 101 citations · 43 references

DOI

Concepts

References

43

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods · 2020 · 8.6K citations · Full text

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Attention U-Net: Learning Where to Look for the Pancreas

Ozan Oktay, Jo Schlemper, Loïc Le Folgoc et al. · arXiv (Cornell University) · 2018 · 4.6K citations · Full text

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

Xiaomeng Li, Hao Chen, Xiaojuan Qi et al. · IEEE Transactions on Medical Imaging · 2018 · 2.5K citations

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ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

Foivos I. Diakogiannis, François Waldner, Peter Caccetta et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 2K citations · Full text

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Building Skeleton Models via 3-D Medial Surface Axis Thinning Algorithms

T.C. Lee, R.L. Kashyap, Chong-Nam Chu · CVGIP Graphical Models and Image Processing · 1994 · 1.5K citations

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