Hidden damage in stony corals revealed using 3D imaging and AI

Florida's coral reefs are under siege. Since 2014, Stony Coral Tissue Loss Disease (SCTLD) has spread rapidly across the ...
IEEE

Deep Learning-Assisted Watermarking and Tamper Detection with GAN-Based Image Restoration

Abstract: The present work, presents a deep learning-based framework for watermarking and tamper detection, with GAN-based image restoration. Initially, Attention assisted Depthwise Separable ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image reconstruction technology delivering clearer image quality

GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
Scientific Research Publishing

Li, M., Jiang, Y., Zhang, Y. and Zhu, H. (2023) Medical Image Analysis Using Deep Learning Algorithms. Frontiers in Public Health, 11, Article 1273253.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
GitHub

SwinIR: Image Restoration Using Swin Transformer

Aug. 26, 2021: See our recent work on real-world image SR: a pratical degrdation model BSRGAN, ICCV2021 Aug. 26, 2021: See our recent work on generative modelling of image SR and image rescaling: ...
PNAS

Descattering and image restoration with a transformer-based neural network in deep tissue imaging

The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...