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Titlebook: Machine Learning in Medical Imaging; 9th International Wo Yinghuan Shi,Heung-Il Suk,Mingxia Liu Conference proceedings 2018 Springer Nature

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Xian-Hua Han,JiandDe Sun,Lanfen Lin,Yen-Wei Chenecog­ nition. The first change involved only malignant hypertensives with enough residual renal parenchyma to survive. Such a hypertensive could trade inevitable renal failure - unless an intracerebral bleed occurred first - for a rigid regimen which prevented his blood pressure from destroying him
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Cheng Chen,Qi Dou,Hao Chen,Pheng-Ann Henge ‘Veterans Administration Cooperative Study’ that subjects with sustained elevations of diastolic blood pressure greater than 104 mmHg, showed marked improvement in both morbidity and mortality when compared to placebo-treated control groups [1,2]. Once the diagnosis of essential hypertension has b
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Weixiang Chen,Hongchen Ji,Jianjiang Feng,Rong Liu,Yi Yu,Ruiquan Zhou,Jie Zhouir course content when using Online Learning Environments (OLEs) still at large, this research aims to analyze the influence that visual narratives could have on encouraging students to study and improve their knowledge levels, and thereby support their continuous learning and development. Interacti
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Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection,tection of optic disk and fovea assists learning the field definition task through coarse-to-fine feature encoding. The experimental results demonstrate that our framework outperform single-task convolutional neural networks and reject ungradable images in automated diabetic retinopathy diagnostic systems.
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