Abstract: Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for ...
Spread the love“`html Connecting sensors to Arduino opens up a vast array of possibilities for hobbyists and professionals alike, transforming ideas into functional prototypes and projects. Whether ...
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 ...
This library uses a PCF8575 to read the pulses of a rotary encoder. As a PCF8575 has 16 lines up to 5 decoders with a switch can be read over I2C. The PCF interrupt line can be used to detect changes ...
Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...