Automatic lower limb bone segmentation in radiographs with different orientations and fields of view based on a contextual network.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Dec 4, 2022
Abstract
PURPOSE: Bone identification and segmentation in X-ray images are crucial in orthopedics for the automation of clinical procedures, but it often involves some manual operations. In this work, using a modified SegNet neural network, we automatically identify and segment lower limb bone structures on radiographs presenting various fields of view and different patient orientations.