Figure 1 - uploaded by Muhammad Azaz Farooq
Content may be subject to copyright.
Schematic flow chart of the proposed model. The network takes original CT and one-hot preprocessed label images as the input for the network and the outputs of the network are the predicted segmentation results.
Source publication
Heart segmentation is challenging due to the poor image contrast of heart in the CT images. Since manual segmentation of the heart is tedious and time-consuming, we propose an attention based-Convolution Neural Network(CNN) for heart segmentation. First, one-hot preprocessing is performed on the multi-tissue CT images. U-Net network with Attention-...
Context in source publication
Context 1
... segment organs accurately from the CT images, AG U-Net is construct and the schematic diagram is shown in Figure 1.Proposed architecture is selected based on two reasons 1) the size of organs varies from patient to patient and slice to slice, 2) the output of Convolution Neural Network in segmentation is a coarse output. ...
