The AT32F435/437 adopts an Arm Cortex-M4 core with a maximum frequency of 288MHz. It includes built-in DSP/FPU computing units, multiple Advanced Timers, and high-speed ADC resources, capable of ...
Abstract: Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the ...
Abstract: Anomaly detection is an important task for medical image analysis, which can alleviate the reliance of supervised methods on large labelled datasets. Most existing methods use a pixel-wise ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
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