Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.

Automatic and reliable prostate segmentation is an essential prerequisite for assisting the diagnosis and treatment, such as guiding biopsy procedure and radiation therapy. Nonetheless, automatic segmentation is challenging due to the lack of clear prostate boundaries owing to the similar appearance...

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Publicado en:	Medical & Biological Engineering & Computing Vol. 58; no. 9; pp. 1947 - 1965
Autores principales:	da Silva, Giovanni L. F., Diniz, Petterson S., Ferreira, Jonnison L., França, João V. F., Silva, Aristófanes C., de Paiva, Anselmo C., de Cavalcanti, Elton A. A.
Formato:	Journal Article
Publicado:	Springer Nature Sep2020
Acceso en línea:	Ver este registro en EBSCOhost