This study presents a training strategy that relies on a two-stage U-Net framework and an adaptive threshold window to automatically segment a whole heart ...

Jun 12, 2019 · The two-stage U-Net framework consists of a region of interest (ROI) detection of the whole heart and accurate segmentation of the heart ...

Apr 1, 2022 · In this study, we achieve accurate automatic segmentation of cardiac structures on CCTA image by adopting an innovative deep learning method based on visual ...

The proposed fully-automatic method accurately delineates cardiac substructures on radiotherapy planning CT scans. Robust and anatomically consistent ...

Jun 16, 2023 · The proposed two-stage method with a shared 3D U-Net is an efficient algorithm for fully automatic 3D left atrial segmentation.

We propose a deep learning model, called deep pyramid local attention neural network (PLANet), to improve the segmentation performance of automatic methods in ...

A deeply-supervised 3D U-Net is presented for fully automatic whole-heart segmentation by jointly using the multi-modal MRI and CT images to define the ...