Frontiers

Editorial: Application of deep learning in biomedical image processing

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
science.psu

Deep Learning, Image Processing, and Cyro-EM

From an architect designing a building to a biologist trying to dissect the molecular causes of a disease, it is crucial to understand the relationship between structure and function. At the scale of ...
IEEE

Hybrid Deep Learning Models for Remote Sensing Image Processing

Abstract: Core image processing tasks, such as super-resolution, denoising, deblurring, pansharpening, and atmospheric correction, underpin all optical remote sensing (RS) pipelines. Errors at this ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image ...

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 ...
GitHub

Cone Detection Using Deep Learning for Formula Student Driverless

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...
Nature

Deep Learning for Ultrasound Image Processing and Enhancement

Deep learning has emerged as a transformative tool in ultrasound imaging, offering novel strategies for processing and enhancing ultrasound images. Advanced neural network architectures such as ...
Nature

Deep learning for image analysis

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...
IEEE

Overview of Deep Learning Image Processing

Abstract: In the last decade, deep learning has rapidly advanced and achieved significant breakthroughs in the field of image processing. This survey aims to provide a comprehensive overview of recent ...