ACNN: a Full Resolution DCNN for Medical Image Segmentation
Xiao-Yun Zhou,Jian-Qing Zheng,Peichao Li,Guang-Zhong Yang,Xiao-Yun Zhou,Jian-Qing Zheng,Peichao Li,Guang-Zhong Yang
Deep Convolutional Neural Networks (DCNNs) are used extensively in medical image segmentation and hence 3D navigation for robot-assisted Minimally Invasive Surgeries (MISs). However, current DCNNs usually use down sampling layers for increasing the receptive field and gaining abstract semantic information. These down sampling layers decrease the spatial dimension of feature maps, which can be detr...
