A fast geodesic active contour model for medical image segmentation using prior analysis and wavelets
The deformable geodesic active contour (GAC) method is one of the most popular
techniques used in object boundary detection in images. In this work, we improve the …
techniques used in object boundary detection in images. In this work, we improve the …
基于U-Net 的多图谱标签融合算法.
芦玥， 马瑜， 王慧， 王原 - Chinese Journal of Liquid Crystal …, 2019 - search.ebscohost.com
为有效提高海马体多图谱分割算法的精度, 将UGNet 卷积神经网络用于海马体MR
多图谱分割的标签融合. 算法在图谱选择阶段, 计算互信息, 梯度相似性选择图谱 …
多图谱分割的标签融合. 算法在图谱选择阶段, 计算互信息, 梯度相似性选择图谱 …
A fast Geodesic Active Contour model for medical images segmentation using prior analysis
SMS Al Sharif, M Deriche… - 2010 2nd International …, 2010 - ieeexplore.ieee.org
The deformable Geodesic Active Contour (GAC) method is one of the most important
techniques used in object boundaries detection in images. In this work, we modify the …
techniques used in object boundaries detection in images. In this work, we modify the …
Hippocampus segmentation based on prior knowledge and GAC model
L Zhang, M Jiang, M Yang - IEEE 10th INTERNATIONAL …, 2010 - ieeexplore.ieee.org
This paper proposes a hippocampus segmentation method integrating prior knowledge with
Geodesic active contour (GAC) model and applies it to the human brain sagittal MR images …
Geodesic active contour (GAC) model and applies it to the human brain sagittal MR images …
An improved active contour model for medical images segmentation
SMS Al-Sharif - 2010 - search.proquest.com
Image Segmentation is an image processing technique which is used to subdivide an image
into regions in which each one contains components having similar properties or …
into regions in which each one contains components having similar properties or …