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Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization

The prevailing approach for three-dimensional (3D) medical image segmentation is to use convolutional networks. Recently, deep learning methods have achieved human-level performance in several important applied problems, such as volumetry for lung-cancer diagnosis or delineation for radiation therap...

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Detalles Bibliográficos
Autores principales:	Shirokikh, Boris, Shevtsov, Alexey, Dalechina, Alexandra, Krivov, Egor, Kostjuchenko, Valery, Golanov, Andrey, Gombolevskiy, Victor, Morozov, Sergey, Belyaev, Mikhail
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321270/ https://www.ncbi.nlm.nih.gov/pubmed/34460634 http://dx.doi.org/10.3390/jimaging7020035

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