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Boundary Attention Mapping (BAM): Fine-grained saliency maps for segmentation of Burn Injuries
We built a saliency mapping method, Boundary Attention Mapping (BAM), that utilises this trained CNN for the purpose of accurately localizing and segmenting the burn regions from skin burn images.
An Improved Level Set Method for Reachability Problems in Differential Games
The reachable tube is described as a sublevel set of a value function, which is the viscosity solution of a Hamilton-Jacobi equation with running cost.
A TSK-type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue
To effectively predict driving fatigue, this paper proposes a new deep learning framework called TSK-type Convolution Recurrent Fuzzy Network (TCRFN) based on the spatial and temporal characteristics of EEG signals.
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