Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach

SIMPLE SUMMARY: Bladder cancer is a common cancer of the urinary tract, characterized by high metastatic potential and recurrence. The research applies a transfer learning approach on CT images (frontal, axial, and saggital axes) for the purpose of semantic segmentation of areas affected by bladder...

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Detalles Bibliográficos
Autores principales: Baressi Šegota, Sandi, Lorencin, Ivan, Smolić, Klara, Anđelić, Nikola, Markić, Dean, Mrzljak, Vedran, Štifanić, Daniel, Musulin, Jelena, Španjol, Josip, Car, Zlatan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614660/
https://www.ncbi.nlm.nih.gov/pubmed/34827126
http://dx.doi.org/10.3390/biology10111134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614660/
https://www.ncbi.nlm.nih.gov/pubmed/34827126
http://dx.doi.org/10.3390/biology10111134

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