Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images

Semantic segmentation of breast and surrounding tissues in supine and prone breast magnetic resonance imaging (MRI) is required for various kinds of computer-assisted diagnoses for surgical applications. Variability of breast shape in supine and prone poses along with various MRI artifacts makes it...

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Detalles Bibliográficos
Autores principales: Ham, Sungwon, Kim, Minjee, Lee, Sangwook, Wang, Chuan-Bing, Ko, BeomSeok, Kim, Namkug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140273/
https://www.ncbi.nlm.nih.gov/pubmed/37106024
http://dx.doi.org/10.1038/s41598-023-33900-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140273/
https://www.ncbi.nlm.nih.gov/pubmed/37106024
http://dx.doi.org/10.1038/s41598-023-33900-x

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