TY  - JOUR 
AU  - Romero Oraa, Roberto
AU  - Herrero Tudela, María
AU  - López Gálvez, María Isabel
AU  - Hornero Sánchez, Roberto
AU  - García Gadañón, María
PY  - 2024
SN  - 0169-2607
UR  - https://uvadoc.uva.es/handle/10324/72951
AB  - Background and objective: Early detection and grading of Diabetic Retinopathy (DR) is essential to determine an adequate treatment and prevent severe vision loss. However, the manual analysis of fundus images is time consuming and DR screening...
LA  - eng
PB  - Elsevier
KW  - Diabetic retinopathy grading
KW  - Fundus images
KW  - Deep learning
KW  - Attention mechanism
KW  - Explainable artificial intelligence
TI  - Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading
DO  - 10.1016/j.cmpb.2024.108160
ER  -