Learning geodesic active contours for embedding object global information in segmentation CNNs

J Ma, J He, X Yang - IEEE Transactions on Medical Imaging, 2020 - ieeexplore.ieee.org
Most existing CNNs-based segmentation methods rely on local appearances learned on the
regular image grid, without consideration of the object global information. This article aims to …
被引用次数：54 相关文章

Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs

J Ma, J He, X Yang - IEEE transactions on medical …, 2021 - pubmed.ncbi.nlm.nih.gov
Most existing CNNs-based segmentation methods rely on local appearances learned on the
regular image grid, without consideration of the object global information. This article aims to …

Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs.

J Ma, J He, X Yang - IEEE Transactions on Medical Imaging, 2020 - europepmc.org
Most existing CNNs-based segmentation methods rely on local appearances learned on the
regular image grid, without consideration of the object global information. This article aims to …

Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs

J Ma, J He, X Yang - IEEE Transactions on Medical Imaging, 2020 - hero.epa.gov
Most existing CNNs-based segmentation methods rely on local appearances learned on the
regular image grid, without consideration of the object global information. This paper aims to …