Titlebook: Machine Learning in Medical Imaging; 8th International Wo Qian Wang,Yinghuan Shi,Kenji Suzuki Conference proceedings 2017 Springer Internat

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书目名称Machine Learning in Medical Imaging影响因子(影响力)




书目名称Machine Learning in Medical Imaging影响因子(影响力)学科排名




书目名称Machine Learning in Medical Imaging网络公开度




书目名称Machine Learning in Medical Imaging网络公开度学科排名




书目名称Machine Learning in Medical Imaging被引频次




书目名称Machine Learning in Medical Imaging被引频次学科排名




书目名称Machine Learning in Medical Imaging年度引用




书目名称Machine Learning in Medical Imaging年度引用学科排名




书目名称Machine Learning in Medical Imaging读者反馈




书目名称Machine Learning in Medical Imaging读者反馈学科排名

Ceramic

0302-9743 ical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. .The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad f

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alcohol-abuse

Detection and Localization of Drosophila Egg Chambers in Microscopy Images,ximum likelihood ellipse model fitting. Our proposal is able to detect 96% of human-expert annotated egg chambers at relevant developmental stages with less than 1% false-positive rate, which is adequate for the further analysis.

起波澜

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Automatic Classification of Proximal Femur Fractures Based on Attention Models,proximal femur fractures. We provide a detailed quantitative and qualitative validation on a dataset of 1000 images and report high accuracy with regard to inter-expert correlation values reported in the literature.

肥料

Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble,h convolutional long short-term memory (CLSTM) to extract voxel labels. Enhanced slice-wise label consistency is ensured, leading to improved segmentation stability and accuracy. We apply our model on ADNI dataset, and demonstrate that our proposed model outperforms the state-of-the-art solutions.

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