breast lesion

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1
Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
Han, Luyi;Huang, Yunzhi;Dou, Haoran;Wang, Shuai;Ahamad, Sahar;Luo, Honghao;Liu, Qi;Fan, Jingfan;Zhan...
2019 computer methods and programs in biomedicine DOI: S0169-2607(19)30658-... 203 views
2
Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals.
Zhang, Dalin;Chen, Kaixuan;Jian, Debao;Yao, Lina;
2020 ieee journal of biomedical and health informatics DOI: 10.1109/JBHI.2020.29... 262 views
3
Insulin Resistance and Free Androgen as Predictors for Ovarian Hyperstimulation Syndrome in Non-PCOS Women.
Nikbakht, Roshan;Zargar, Mahvash;Moramezi, Farideh;Ziafat, Mahnaz;Tabesh, Hamed;Sattari, Ali Reza;Sa...
2020 hormone and metabolic research = hormon- und stoff... DOI: 10.1055/a-1079-5342 224 views
4
Breast MRI for Diagnosis and Staging of Breast Cancer
Riham H. El Khouli,Michael A. Jacobs,Katarzyna J. Macura;Riham H. El Khouli;Michael A. Jacobs;Katarz...
2014 Breast Cancer Screening and Diagnosis DOI: 10.1007/978-1-4939-1... 120 views

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image segmentation semi-supervised learning generative adversarial networks ultrasound image attention mechanism apparent diffusion coefficient breast magnetic resonance imaging washout rate malignant breast lesion