Joint MRI T1 Unenhancing and Contrast-enhancing Multiple Sclerosis Lesion Segmentation with Deep Learning in OPERA Trials

Radiology ◽  
2021 ◽  
Author(s):  
Anitha Priya Krishnan ◽  
Zhuang Song ◽  
David Clayton ◽  
Laura Gaetano ◽  
Xiaoming Jia ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Deep Learning ◽  
Multiple Sclerosis Lesion ◽  
Lesion Segmentation

scholarly journals Review of Deep Learning Approaches for the Segmentation of Multiple Sclerosis Lesions on Brain MRI

2020 ◽  
Vol 14 ◽  
Author(s):  
Chenyi Zeng ◽  
Lin Gu ◽  
Zhenzhong Liu ◽  
Shen Zhao
Keyword(s):  
Multiple Sclerosis ◽  
Deep Learning ◽  
Brain Mri ◽  
Multiple Sclerosis Lesion ◽  
Dice Similarity Coefficient ◽  
Learning Approaches ◽  
Review Of The Literature ◽  
Lesion Segmentation ◽  
Segmentation Methods ◽  
Future Direction

In recent years, there have been multiple works of literature reviewing methods for automatically segmenting multiple sclerosis (MS) lesions. However, there is no literature systematically and individually review deep learning-based MS lesion segmentation methods. Although the previous review also included methods based on deep learning, there are some methods based on deep learning that they did not review. In addition, their review of deep learning methods did not go deep into the specific categories of Convolutional Neural Network (CNN). They only reviewed these methods in a generalized form, such as supervision strategy, input data handling strategy, etc. This paper presents a systematic review of the literature in automated multiple sclerosis lesion segmentation based on deep learning. Algorithms based on deep learning reviewed are classified into two categories through their CNN style, and their strengths and weaknesses will also be given through our investigation and analysis. We give a quantitative comparison of the methods reviewed through two metrics: Dice Similarity Coefficient (DSC) and Positive Predictive Value (PPV). Finally, the future direction of the application of deep learning in MS lesion segmentation will be discussed.

scholarly journals DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation

2021 ◽  
pp. 102312
Author(s):  
Reda Abdellah Kamraoui ◽  
Vinh-Thong Ta ◽  
Thomas Tourdias ◽  
Boris Mansencal ◽  
José V Manjon ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Deep Learning ◽  
Multiple Sclerosis Lesion ◽  
Lesion Segmentation ◽  
Learning Generalization

Level set evolution with intensity prior knowledge for multiple sclerosis lesion segmentation

2019 ◽  
Vol 5 (1) ◽  
pp. 37
Author(s):  
Guodong Zhang ◽  
Zhaoxuan Gong ◽  
Wei Guo ◽  
Zhenyu Zhu ◽  
Jia Guo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Prior Knowledge ◽  
Level Set ◽  
Multiple Sclerosis Lesion ◽  
Lesion Segmentation ◽  
Level Set Evolution
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