Although deep learning has become the standard ... During training, we use a shared encoder to extract image features and two decoders for landmark regression and anatomical pseudo-label segmentation.

we apply a deep neural network that maps the noisy image into a latent space in which the AWGN assumption holds, and thus any existing Gaussian denoiser is applicable. More specifically, the proposed ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications ... modulation fusion module that guides the encoder-encoder and ...

The JPEG2K-E core from Alma Technologies is a still image and video encoder that implements Part 1 of the JPEG 2000 standard. It offers up to 16-bit per component Numerically Lossless and Lossy ...

The iPad Air costs at least $250 more than the entry-level iPad, so is choosing the pricier model worth it? Or should you save the money and buy the 11th-generation ‌iPad‌? This guide helps ...

Deep learning has been successfully applied to various bone segmentation tasks, demonstrating its effectiveness (7). Nevertheless, learning-based methods specifically addressing pelvic fracture ...

One of the advancements is from data scientist Paril Ghori, who has effectively used an Autoencoder deep learning model to identify anomalies in residential furnaces. Utilizing cutting-edge machine ...