Brain tumor feature extraction and edge enhancement algorithm based on U-Net network

BACKGROUND: Statistics show that each year more than 100,000 patients pass away from brain tumors. Due to the diverse morphology, hazy boundaries, or unbalanced categories of medical data lesions, segmentation prediction of brain tumors has significant challenges. PURPOSE: In this thesis, we highlig...

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Detalles Bibliográficos
Autores principales: Cheng, Dapeng, Gao, Xiaolian, Mao, Yanyan, Xiao, Baozhen, You, Panlu, Gai, Jiale, Zhu, Minghui, Kang, Jialong, Zhao, Feng, Mao, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687284/
https://www.ncbi.nlm.nih.gov/pubmed/38034799
http://dx.doi.org/10.1016/j.heliyon.2023.e22536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687284/
https://www.ncbi.nlm.nih.gov/pubmed/38034799
http://dx.doi.org/10.1016/j.heliyon.2023.e22536

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