Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images

1 code implementation • 16 Sep 2019 • Hoileong Lee, Tahreema Matin, Fergus Gleeson, Vicente Grau

We refer to the network as Pulmonary Lobe Segmentation Network (PLS-Net), which is designed to efficiently exploit 3D spatial and contextual information from high-resolution volumetric CT images for effective volume-to-volume learning and inference.

Computational Efficiency Computed Tomography (CT) +1