A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas

Purpose: Gliomas are the most common primary brain malignancies, with varying degrees of aggressiveness and prognosis. Understanding of tumor biology and intra-tumor heterogeneity is necessary for planning personalized therapy and predicting response to therapy. Accurate tumoral and intra-tumoral se...

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Detalles Bibliográficos
Autores principales: Baid, Ujjwal, Talbar, Sanjay, Rane, Swapnil, Gupta, Sudeep, Thakur, Meenakshi H., Moiyadi, Aliasgar, Sable, Nilesh, Akolkar, Mayuresh, Mahajan, Abhishek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7041417/
https://www.ncbi.nlm.nih.gov/pubmed/32132913
http://dx.doi.org/10.3389/fncom.2020.00010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7041417/
https://www.ncbi.nlm.nih.gov/pubmed/32132913
http://dx.doi.org/10.3389/fncom.2020.00010

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