In this paper, we propose 3DBGrowth, which develops a 3D reconstruction over the efficient Balanced Growth method for 2D images. We also take advantage of the ...

3DBGrowth is proposed, which develops a 3D reconstruction over the efficient Balanced Growth method for 2D images and works well with imprecise seed points, ...

Abstract—Segmentation of medical images is critical for making several processes of analysis and classification more re- liable. With the growing number of ...

In this paper, we propose 3DBGrowth, which develops a 3D reconstruction over the efficient Balanced Growth method for 2D images. We also take advantage of the ...

Sep 23, 2024 · BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. Symposium on Applied ...

Bibliographic details on 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging.

Jul 13, 2024 · In this paper, we propose a novel deep learning framework, ReVerteR, which can realize automatic 3D Reconstruction of Vertebrae from orthogonal bi-planar ...

Aug 18, 2022 · This study aims to explore the feasibility of automatically segmenting lumbar spinal structures and increasing the speed and accuracy of 3D lumbar ...

In this paper, we address the issue of computer-assisted indexing in one specific case, i.e., for the 17,000 digitized images of the cervical and lumbar spine ...

Jun 19, 2024 · An optimized segmentation convolutional neural network with dynamic energy loss function for 3D reconstruction of lumbar spine MR images.