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We evaluated this approach on hippocampus segmentation in two sets of images acquired with substantially different imaging protocols and on different scanners.
We evaluated this approach on hippocampus segmentation in two sets of images acquired with substantially different imaging protocols and on different scanners.
We evaluated this approach on hippocampus segmentation in two sets of images acquired with substantially different imaging protocols and on different scanners.
Local appearance features for robust MRI brain structure segmentation across scanning protocols ... Segmentation of brain structures in magnetic resonance images ...
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ABSTRACT. Segmentation of brain structures in magnetic resonance images is an important task in neuro image analysis. Several.
Oct 6, 2022 · We analyzed robustness of radiomic features to segmentation method variation by computing the ICC across segmentation methods for each radiomic ...
May 13, 2024 · In this study, we used the Brain Tumor Segmentation (BraTS) 2021 public glioma dataset, which does not require local ethical approval. The MRI ...
Abstract Automatically segmenting anatomical structures from 3D brain MRI images is an important task in neu- roimaging. One major challenge is to design ...
Brain structure segmentation in magnetic resonance imaging (MRI) plays a pivotal role in both research and clinical routines for assessing and monitoring brain ...
SynthSeg+ is an image segmentation tool for automated analysis of highly heterogeneous brain MRI clinical scans. Our method relies on a new strategy to ...
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