Automatic breast lesion segmentation in phase preserved DCE-MRIs

We offer a framework for automatically and accurately segmenting breast lesions from Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow and min cut problems in the continuous domain over phase preserved denoised images. Three stages are required to complete the...

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Detalles Bibliográficos
Autores principales: Pandey, Dinesh, Wang, Hua, Yin, Xiaoxia, Wang, Kate, Zhang, Yanchun, Shen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123154/
https://www.ncbi.nlm.nih.gov/pubmed/35607433
http://dx.doi.org/10.1007/s13755-022-00176-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123154/
https://www.ncbi.nlm.nih.gov/pubmed/35607433
http://dx.doi.org/10.1007/s13755-022-00176-w

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