机译:AFCM-LSMA:基于征收粘液模具算法的新型智能模型和自适应模糊C型方法,用于胸部X射线图像鉴定Covid-19感染
School of Biomedkal Engineering Health Science Center Shenzhen University Shenzhen 518060 China Faculty of Computers and Artificial Intelligence Beni-Suef University Benisuef 62511 Egypt;
Depto. de Ciencias Computacionales Universidad de Guadalajara CUCEI Av. Revolucion 1500 44430 Guadalajara Jalisco Mexico;
Pimpri Chinchwad College of Engineering Savitribai Phule Pune University India;
School of Biomedkal Engineering Health Science Center Shenzhen University Shenzhen 518060 China Marshall Laboratory of Biomedical Engineering Shenzhen University Shenzhen China;
Slime Mould Algorithm (SMA); Adaptive fuzzy c-means (AFCM); COVID-19; Levy distribution; Deep learning; Chest X-ray;
机译:HSMA_WOA:具有鲸鱼优化算法的混合新型粘液模算法,用于解决胸部X射线图像的图像分割问题
机译:胸部X射线图像中的多目标遗传算法与基于卷积神经网络的Covid-19识别
机译:基于鲁棒模糊C型算法的遥感图像分割通过并行征灰狼算法改进
机译:使用胸部X射线图像转移学习检测Covid-19感染
机译:基于线性混合模型和监督模糊逻辑算法的高光谱图像软分类
机译:使用深度学习模型进行COVID-19检测以利用模糊的颜色和堆叠方法利用社交模仿优化和结构化的胸部X射线图像
机译:基于核的自适应模糊c均值算法用于M-FISH图像分割