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

Published: Sep 16, 2019
Abstract
The human lung is a complex respiratory organ, consisting of five distinct anatomic compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes from computed tomography (CT) images is of clinical importance for lung disease assessment and treatment planning. However, this task is challenging due to ambiguous lobar boundaries, anatomical variations and pathological deformations. In this paper, we propose a...
Paper Details
Title
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images.
Published Date
Sep 16, 2019
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