Department of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel;
Diagnostic Imaging, Sheba Medical Center, Affiliated to the Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel;
Diagnostic Imaging, Sheba Medical Center, Affiliated to the Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel;
Department of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel;
Diagnostic Imaging, Sheba Medical Center, Affiliated to the Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel;
机译:DFD-NET:使用深度学习从去噪的CT扫描图像中检测肺癌
机译:用于超低剂量CT去噪的量身定制的深度残余神经网络及其对肺气肿的影响
机译:在低剂量和超低剂量胸部CT期间,降低了胸腔入口中的图像噪声和条纹伪影。
机译:用于超低剂量肺CT去噪的真实噪音
机译:低剂量CT图像去噪使用深度学习方法
机译:利用双边滤波和CT噪声模型对投影空间进行降噪以减少CT剂量
机译:深剂量插件:通过深入基于学习的去噪算法实现实时蒙特卡罗剂量计算