School of Software Engineering Xi'an Jiaotong University Xi'an China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China;
School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou China;
The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China;
Skin lesion classification; Meta-learning; Prior feature; Deep-hashing;
机译:DermoDeep-A使用视觉特征和深度神经网络的多特征融合对黑素瘤-痣皮肤病变进行分类
机译:基于CNN架构并嵌入哈希特征的高光谱图像分类方法
机译:基于混合空间特征和径向基网络的皮肤病变分类
机译:嵌入具有皮肤病变分类的现有功能的关系散列网络
机译:增强皮肤镜图像和特征提取以对皮肤病变进行分类。
机译:图嵌入深度前馈网络用于使用基因表达数据进行疾病结果分类和特征选择
机译:皮肤病分类与皮肤病变特征:使用多标签深神经网络实现鲁棒诊断