Medical Image Segmentation with Learning Semantic and Global Contextual Representation

Automatic medical image segmentation is an essential step toward accurate diseases diagnosis and designing a follow-up treatment. This assistive method facilitates the cancer detection process and provides a benchmark to highlight the affected area. The U-Net model has become the standard design cho...

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Detalles Bibliográficos
Autor principal: Alahmadi, Mohammad D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319384/
https://www.ncbi.nlm.nih.gov/pubmed/35885454
http://dx.doi.org/10.3390/diagnostics12071548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319384/
https://www.ncbi.nlm.nih.gov/pubmed/35885454
http://dx.doi.org/10.3390/diagnostics12071548

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