Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
Devdiscourse

AI redefines wildlife monitoring and conservation science

An Advanced AI Approach for Accurate Giant Panda Behavior Detection and Conservation Insights,” published in the journal ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
Business Insider

David Ebrahimzadeh and Corniche Capital Head to SXSW 2026 to Deploy Capital Into Defense, Aerospace, Deep Tech, and Frontier Infrastructure

NEW YORK and AUSTIN, Texas, March 13, 2026 (GLOBE NEWSWIRE) -- Corniche Capital, a New York City-based private equity and real estate firm founded by David Ebrahimzadeh, will be attending SXSW 2026 in ...
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, ...
GitHub

GitHub - QuratulainSofDev/Lightweight-and-Effective-Deep-learning-model-for-osteoprosis-classification: deep learning model for Osteoporisis classfication where i perfom ...

📋 Project Overview This project presents a novel CBAM-guided channel pruning framework for efficient osteoporosis classification using knee X-ray images. The methodology achieves 55.9% parameter ...
IEEE

A Multimodal Deep Learning Model for Cross-Project Issue Classification

Abstract: Software continuously evolves through changes, and issue reports encapsulate these change requests. In the GitHub system, a labeling mechanism has been introduced for systematic issue ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...