2D semantic segmentation of the prostate gland in magnetic resonance images using convolutional neural networks

Conference Object

Abstract: Convolutional Neural Networks is one of the most commonly used methods for automatic prostate segmen

Palabras claves:

Central Gland, convolutional neural networks, Encoder-Classifier, Encoder-Decoder, MRIs, NCI-ISBI 2013, Peripheral Zone, Prostate Segmentation, U-net, VGG16

Autores:

Marco E. Benalcázar, Silvia P. Vacacela

Fuentes:

google

scopus