Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: Shoulder muscle segmentation in patients with obstetrical brachial plexus palsy is a challenging task from magnetic resonance images. A reliable fully-automated method could greatly help ...