Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging

T(2)-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) are essential components of cervical cancer diagnosis. However, combining these channels for the training of deep learning models is challenging due to image misalignment. Here, we propose a novel multi-head framewor...

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Detalles Bibliográficos
Autores principales: Kalantar, Reza, Curcean, Sebastian, Winfield, Jessica M., Lin, Gigin, Messiou, Christina, Blackledge, Matthew D., Koh, Dow-Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647438/
https://www.ncbi.nlm.nih.gov/pubmed/37958277
http://dx.doi.org/10.3390/diagnostics13213381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647438/
https://www.ncbi.nlm.nih.gov/pubmed/37958277
http://dx.doi.org/10.3390/diagnostics13213381

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