Titlebook: Medical Imaging and Computer-Aided Diagnosis; Proceeding of 2020 I Ruidan Su,Han Liu Conference proceedings 2020 Springer Nature Singapore

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书目名称Medical Imaging and Computer-Aided Diagnosis影响因子(影响力)




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书目名称Medical Imaging and Computer-Aided Diagnosis网络公开度学科排名




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书目名称Medical Imaging and Computer-Aided Diagnosis被引频次学科排名




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Deep Learning for Mental Illness Detection Using Brain SPECT Imaging,the brain. The data consists in scans from patients with attention deficit hyperactivity disorder (ADHD), major depressive disorder (MDD) and obsessive compulsive disorder (OCD), plus scans of healthy brains. We focus here on the application of a deep convolutional neural network (CNN). The main cha

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Improved Brain Tumor Segmentation and Diagnosis Using an SVM-Based Classifier,thods of various diseases. Machine Learning has advanced so much and provides benefits like enhanced efficiency and fast decision making which prove to be crucial in the field of medical diagnosis. One of the highly deemed research fields which happen to be greatly affected by this advance is the fi

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Segment Medical Image Using U-Net Combining Recurrent Residuals and Attention, medical image segmentation technology not only affects the development of other related technologies in medical image processing, such as visualization 3D reconstruction, but in the analysis of biomedical images also occupies an extremely important position. With the application of deep learning al

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