The proposed method is validated by experiments on isointense infant brain tissue segmentation, and achieves promising results in comparison with several ...
The proposed method is validated by experiments on isointense infant brain tissue segmentation, and achieves promising results in comparison with several ...
The proposed method is validated by experiments on isointense infant brain tissue segmentation, and achieves promising results in comparison with several ...
In this paper, we propose a novel learning-based multi-source integration framework for segmentation of infant brain images.
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May 2, 2021 · To attract more researchers to address the multi-site issue, in 2019, we organized a MICCAI grand challenge on 6-month infant brain MRI ...
Jan 8, 2016 · In this way, we can better use the 12-month-old brain images as multiple atlases to guide the segmentation of isointense brain images.
This paper presents a survey of published MAS algorithms and studies that have applied these methods to various biomedical problems.
We propose a novel method for the automatic segmentation of brain MRI images by using discriminative dictionary learning and sparse coding techniques.
Dec 10, 2024 · In this article, 8 top-ranked methods were reviewed by detailing their pipelines/implementations, presenting experimental results, and evaluating performance ...
Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation ... This work presents a new online discriminative multi-atlas learning ...