Dec 9, 2019 · The hippocampus is located in the medial temporal lobe. Changes in the size and shape of the hippocampus are closely related to Alzheimer's and ...
Mar 18, 2022 · In this work, a U-Net Convolutional Network based approach is used for hippocampus segmentation from 2D brain images.
Missing: Side | Show results with:Side
Jul 5, 2024 · In this study, a pixel-level semantic segmentation method using 3D-UNet is proposed to realize the automatic segmentation of the brain hippocampus from MRI ...
Side U-Net is presented, which addresses the challenging problems of segmentation in medical image analysis by upgrading loss function and capturing more ...
In addition, some objects like hippocampus in the biomedical image occupies an only small area which increases the difficulty of segmentation. In this ...
Hippocampus Segmentation Using U-Net Convolutional Network from ...
pmc.ncbi.nlm.nih.gov › PMC9485390
Mar 18, 2022 · The segmentation model is combination of 2 networks, one network to train on the entire brain images, and the second network is designed to ...
You will use the dataset that contains the segmentations of the right hippocampus and you will use the U-Net architecture to build the segmentation model.
Methods: U-Net architecture of convolutional neural network was proposed to segment the hippocampus in the real MRI data. The MR images of the 100 and 35 ...
“Hippocampus Segmentation in MRI Using Side U-Net Model” is a paper by Wenbin Yao Shan Wang Huiyuan Fu published in 2019. It has an Open Access status of “ ...
We propose an automated hippocampus segmentation pipeline leveraging deep learning with T2-weighted MR images for enhanced hippocampus segmentation.