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Attention to fires: Multi-channel deep learning models for wildfire severity prediction
Wildfires are one of the natural hazards that the European Union is actively monitoring
through the Copernicus EMS Earth observation program which continuously releases public …
through the Copernicus EMS Earth observation program which continuously releases public …
MIRAU-Net: An improved neural network based on U-Net for gliomas segmentation
Gliomas are the largest prevalent and destructive of brain tumors and have crucial parts for
the diagnosing and treating of MRI brain tumors during segmentation using computerized …
the diagnosing and treating of MRI brain tumors during segmentation using computerized …
Using deep learning to segment retinal vascular leakage and occlusion in retinal vasculitis
Purpose Retinal vasculitis (RV) is characterised by retinal vascular leakage, occlusion or
both on fluorescein angiography (FA). There is no standard scheme available to segment …
both on fluorescein angiography (FA). There is no standard scheme available to segment …
SSM-net for plants disease identification in low data regime
S Jadon - 2020 IEEE/ITU International Conference on Artificial …, 2020 - ieeexplore.ieee.org
Plant disease detection is an essential factor in increasing agricultural production. Due to
the difficulty of disease detection, farmers spray various pesticides on their crops to protect …
the difficulty of disease detection, farmers spray various pesticides on their crops to protect …