Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges

The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit detail from large datasets have attracted substantial research attention in the field of medical image processing. DL provides grounds for technological development of computer-aided diagnosis and segmenta...

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Detalles Bibliográficos
Autores principales: Kalantar, Reza, Lin, Gigin, Winfield, Jessica M., Messiou, Christina, Lalondrelle, Susan, Blackledge, Matthew D., Koh, Dow-Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625809/
https://www.ncbi.nlm.nih.gov/pubmed/34829310
http://dx.doi.org/10.3390/diagnostics11111964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625809/
https://www.ncbi.nlm.nih.gov/pubmed/34829310
http://dx.doi.org/10.3390/diagnostics11111964

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