Search Results for author:
Found 3 papers, 0 papers with code
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
In addition, we introduce a novel triple attention gate module and a hybrid triple attention module to encourage selective modeling of relevant medical image features.
MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification
Therefore, it is crucial to study the identification and classification of different apple foliar diseases.
Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms
As the world is still trying to rebuild from the destruction caused by the widespread reach of the COVID-19 virus, and the recent alarming surge of human monkeypox disease outbreaks in numerous countries threatens to become a new global pandemic too.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
