Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI-Reference-Cited by-同舟云学术

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Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Sousa Isabella Medeiros de,De Oliveira Marcela,Lisboa-Filho Paulo Noronha,Cardoso Jaime Dos Santos

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669533.pdf?arnumber=9669533

Reference23 articles.

1. Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks

2. Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation

3. Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data

4. Domain Shift in Computer Vision models for MRI data analysis: An Overview;kondrateva;Arxiv preprint 2010,2020

5. A Light Weighted Deep Learning Framework for Multiple Sclerosis Lesion Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review;NeuroImage: Clinical;2023

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