NettetLearning directional feature maps for cardiac mri segmentation Feng Cheng*, Cheng Chen*, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. Gliding ... Nettet26. jan. 2024 · In order to solve the problem that feature information cannot be fully utilized due to the loss of effective information or the increase of invalid information, we propose a dilated convolutional network with directional feature mapping inspired by Wang et al. (2024); Cheng et al. (2024).
DirectionalFeature/README.md at master · c-feng ... - Github
Nettetthe characteristics of human sensory field, so 12 color feature maps, 6 luminance feature maps as well as 24 orientation feature maps are obtained. Afterwards, corresponding color, luminance and orientation saliency maps can be attained by normalization linear overlapping, and a total saliency map can be produced based on these three saliency ... Nettet1. jul. 2024 · Learning directional feature maps for cardiac mri segmentation; J. Duan et al. Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach. IEEE Trans. Med. Imaging. (2024) L. Duong et al. top restaurant in milwaukee
Learning Directional Feature Maps for Cardiac MRI Segmentation
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