TY  - JOUR 
AU  - Díaz Pernas, Francisco Javier
AU  - Martínez Zarzuela, Mario
AU  - Antón Rodríguez, Miriam
AU  - González Ortega, David
PY  - 2021
SN  - 2227-9032
UR  - https://uvadoc.uva.es/handle/10324/59926
AB  - In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of our proposal with respect to previous works is that...
LA  - eng
PB  - MDPI
KW  - Brain - Tumors - Diagnosis
KW  - Tumors cerebrals
KW  - Cerebro - Tumores
KW  - Neurology
KW  - Machine learning
KW  - Artificial intelligence
KW  - Neural networks (Computer science)
KW  - Redes neuronales (Informática)
KW  - Signal processing
KW  - Statistics
KW  - Estadística
KW  - Magnetic resonance
KW  - Resonancia Magnética
TI  - A deep learning approach for brain tumor classification and segmentation using a multiscale convolutional neural network
DO  - 10.3390/healthcare9020153
ER  -