TY  - JOUR 
AU  - Zurdo-Tabernero, Marco
AU  - Hernández González, Guillermo
AU  - González Arrieta, María Angélica
AU  - Prieto Tejedor, Javier
AU  - Corchado Rodríguez, Juan Manuel
PY  - 2026
SN  - 0952-1976
UR  - http://hdl.handle.net/10366/170727
AB  - [EN]Accurate segmentation of meningiomas in magnetic resonance imaging scans is essential for clinical planning, yet remains challenging due to their irregular shapes and subtle boundaries. In this study, we refine skip connections in convolutional...
LA  - eng
PB  - Elsevier B.V.
KW  - Semantic segmentation
KW  - Magnetic resonance imaging
KW  - Meningioma detection and delineation
KW  - Convolutional encoder–decoder networks
KW  - Skip connection refinement
KW  - Medical image analysis
TI  - Refining skip connections in convolutional encoder–decoder networks for whole meningioma segmentation using shifted window transformer blocks
DO  - 10.1016/j.engappai.2026.114569
T2  - Engineering Applications of Artificial Intelligence
VL  - 174
M2  - 114569
ER  -