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1
A Fully Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images.
Xu, Jiahang;Jiao, Fangyang;Huang, Yechong;Luo, Xinzhe;Xu, Qian;Li, Ling;Liu, Xueling;Zuo, Chuantao;W...
2019 Frontiers in neuroscience DOI: 10.3389/fnins.2019.0... 315 views
2
Glomerulosclerosis identification in whole slide images using semantic segmentation.
Bueno, Gloria;Fernandez-Carrobles, M Milagro;Gonzalez-Lopez, Lucia;Deniz, Oscar;
2019 computer methods and programs in biomedicine DOI: S0169-2607(19)31138-... 197 views
3
Automatic Coal and Gangue Segmentation Using U-Net Based Fully Convolutional Networks
Rong Gao;Zhaoyun Sun;Wei Li;Lili Pei;Yuanjiao Hu;Liyang Xiao;Gao, Rong;Sun, Zhaoyun;Li, Wei;Pei, Lil...
2020 energies DOI: 10.3390/en13040829 197 views
4
Automatic Coal and Gangue Segmentation Using U-Net Based Fully Convolutional Networks
Rong Gao,Zhao-Yun Sun,Wei Li,Lili Pei,Yuanjiao Hu,Liyang Xiao;Rong Gao;Zhao-Yun Sun;Wei Li;Lili Pei;...
2020 energies DOI: 10.3390/en13040829 196 views
5
Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks.
Krüger, Julia;Opfer, Roland;Gessert, Nils;Ostwaldt, Ann-Christin;Manogaran, Praveena;Kitzler, Hagen...
2020 neuroimage clinical DOI: S2213-1582(20)30282-... 185 views
6
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images
Ziyi Chen;Dilong Li;Wentao Fan;Haiyan Guan;Cheng Wang;Jonathan Li;Chen, Ziyi;Li, Dilong;Fan, Wentao;...
2021 remote sensing DOI: 10.3390/rs13132524 124 views

Related Journals

computer methods and programs in biomedicine
ISSN: 1872-7565 679 views
neuroimage clinical
ISSN: 2213-1582 763 views
Frontiers in neuroscience
ISSN: 1662-4548 684 views

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image classification parkinson’s disease striatum multi-modality Deep learning digital pathology semantic segmentation consecutive segmentation-classification cnn glomeruli detection sclerotic glomeruli segnet Segmentation feature extraction coal and gangue Convolutional neural network multiple sclerosis lesion activity lesion segmentation building extraction