Automated Segmentation of Infarct Lesions in T1-Weighted MRI Scans Using Variational Mode Decomposition and Deep Learning

Automated segmentation methods are critical for early detection, prompt actions, and immediate treatments in reducing disability and death risks of brain infarction. This paper aims to develop a fully automated method to segment the infarct lesions from T1-weighted brain scans. As a key novelty, the...

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Detalles Bibliográficos
Autores principales: Paing, May Phu, Tungjitkusolmun, Supan, Bui, Toan Huy, Visitsattapongse, Sarinporn, Pintavirooj, Chuchart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999810/
https://www.ncbi.nlm.nih.gov/pubmed/33802223
http://dx.doi.org/10.3390/s21061952

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999810/
https://www.ncbi.nlm.nih.gov/pubmed/33802223
http://dx.doi.org/10.3390/s21061952

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