biomedical MRI; feature extraction; image classification; image denoising; image filtering; image segmentation; medical disorders; medical image processing; neural nets; MRI brain white matter; MRI images; WM feature extraction; abnormality diagnosis; abnormality monitoring; accuracy analysis; image filtering; image processing technique; image quality; image segmentation; magnetic resonance imaging; medical imaging technique; neural network input classification; neurological disorder; noise removal; sensitivity analysis; small-vessel stroke predisposition; specificity analysis; stroke risk prediction; white matter disease assessment; Diseases; Feature extraction; Image segmentation; Lesions; Magnetic resonance imaging; Noise; Features extraction; Image processing; MRI; Small vessel disease; White matter;
机译:利用DWT和概率神经网络进行特征提取的脑肿瘤MRI图像的识别与分类。
机译:使用深度信仰网络初始化的Deep Neural网络的任务特定特征提取和分类FMRI卷:使用Sensorimotor任务进行评估
机译:使用疾病演化预测极神经网络自动估计白质超萎缩脑研发中的空间估计
机译:基于MRI脑白质的新特征提取和神经网络输入分类的MRI脑白质和小血管卒中易感性
机译:使用非迭代神经网络从直边物体的图像中提取特征并进行动态图像/特征分类。
机译:基于DWT和概率神经网络的特征提取对脑肿瘤MRI图像的识别与分类。
机译:使用深度信仰网络初始化的Deep Neural网络的任务特定特征提取和分类FMRI卷:使用Sensorimotor任务进行评估