Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a ...

Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we ...

Chronic kidney disease (CKD) is a collective term for diseases that affect the structure and function of the kidneys, and its various clinical manifestations are partially related to the cause, ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...

AI Source separator written in C running a U-Net model trained by Deezer, separate your audio input to Drum, Bass, Accompaniment and Vocal/Speech with Spleeter model. The network accepts 2 channels ...

Yann Lecun's development of the first convolutional neural network revolutionised computer vision and artificial intelligence. CNNs analyse images by dividing them into sections, similar to how the ...