| 1 | 高尿酸血症显示文摘在战后年代,由于经济发展,营养过分增加,导致代谢性疾病明显增多,特别是糖尿病、脂肪代谢障碍、高尿酸血症和痛风。在Framingham的研究中,对平均年龄44岁的5127例病人进行12年的长期观察,发现9.2%的男子和0.4%的妇女尿酸值≥7.0mg/dl,这些病人中19%患者有痛风,尿酸性关节炎发生的危险性随升高的血清尿酸水平而增加。在Framingham的全部检查病人中有2.8%的男子和0.4%的妇女发生1次或多次痛风。 | W.Grbner N.Zllner 胡志全 | 1997 | 德国医学1997，14，4： | 1 |
| 3 | Multi-Scale Network for Thoracic Organs Segmentation显示文摘Medical Imaging Segmentation is an essential technique for modern medical applications.It is the foundation of many aspects of clinical diagnosis,oncology,and computer-integrated surgical intervention.Although significant successes have been achieved in the segmentation of medical images,DL(deep learning)approaches.Manual delineation of OARs(organs at risk)is vastly dominant but it is prone to errors given the complex irregularities in shape,low texture diversity between tissues and adjacent blood area,patientwide location of organisms,and weak soft tissue contrast across adjacent organs in CT images.Till now several models have been implemented onmulti organs segmentation but not caters to the problemof imbalanced classes some organs have relatively small pixels as compared to others.To segment OARs in thoracic CT images,we proposed the model based on the encoder-decoder approach using transfer learning with the efficientnetB7 DL model.We have built a fully connected CNN(Convolutional Neural network)having 5 layers of encoding and 5 layers of decoding with efficientnetB7 specifically to tackle imbalance class pixels in an accurate way for the segmentation of OARs.Proposed methodology achieves 0.93405 IOU score,0.95138 F1 score and class-wise dice score for esophagus 0.92466,trachea 0.94257,heart 0.95038,aorta 0.9351 and background 0.99891.The results showed that our proposed framework can be segmented organs accurately. | Muhammad Ibrahim Khalil Samabia Tehsin Mamoona Humayun N.Z Jhanjhi Mohammed A.AlZain | 2022 | Computers, Materials & Continua2022，，2： | 0 |
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