SE-U-Net: Contextual Segmentation by Loosely Coupled Deep Networks for Medical Imaging Industry
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Min-Hsiung Hung | Chao-Chun Chen | Lin-Yi Jiang | Cheng-Ju Kuo | O. Tang-Hsuan | Min-Hsiung Hung | Chao-Chun Chen | Chen-Ju Kuo | Lin-Yi Jiang | O. Tang-Hsuan
[1] Enhong Chen,et al. Combining contextual neural networks for time series classification , 2020, Neurocomputing.
[2] Francesca Bovolo,et al. A Context-Sensitive Technique Based on Support Vector Machines for Image Classification , 2005, PReMI.
[3] Mohamed Abdel-Mottaleb,et al. DU-Net: Convolutional Network for the Detection of Arterial Calcifications in Mammograms , 2020, IEEE Transactions on Medical Imaging.
[4] Jennifer A. Miller,et al. Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic , 2010 .
[5] Yujun Liu,et al. One stage lesion detection based on 3D context convolutional neural networks , 2019, Comput. Electr. Eng..
[6] Wenyu Liu,et al. A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT , 2020, IEEE Transactions on Medical Imaging.
[7] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[8] Maciej Huk,et al. Non-uniform Initialization of Inputs Groupings in Contextual Neural Networks , 2019, ACIIDS.