A Novel ConvLSTM-Based U-net for Improved Brain Tumor Segmentation

Using 2D scans or simple 3D convolutions are two limitations of previous works on segmentation of brain tumors by deep learning, which lead to ignoring the temporal distribution of the scans. This study proposes a novel extension to the well-known U-net model for brain tumor segmentation, utilizing...

Descripció completa

Dades bibliogràfiques

Autors principals:	Osama Majeed Hilal Almiahi, Alaa Taima Albu-Salih, Dhafer Alhajim
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Brain tumor deep learning ConvLSTM up skip connection U-net
Accés en línia:	https://ieeexplore.ieee.org/document/10721476/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!