BIOENGINEER

Deep Learning Pipeline Evaluates Weed Competition Pressure and Crop Risk from Field Images

Researchers have developed an image-driven deep learning framework that couples plant classification and segmentation with ...
European Medical Journal

Multimodal AI Improves Skin Lesion Classification Accuracy

Multimodal AI combining skin images and clinical data improved skin lesion classification, supporting further research into ...
AZoOptics

AI Debiasing Retains 81% Accuracy in Raman-Based Glioma Mutation Classification

Researchers use adversarial deep learning to reduce patient-specific bias in Raman spectroscopy while preserving 81% balanced accuracy in glioma IDH1 classification.
GitHub

Viral Disease Classification using Deep Learning

Deep learning-based viral disease classification using CNN + ELM on genome sequences. Classifies viruses into 10 families with applications in bioinformatics - srstm/Viral-disease-classification ...
2 Minute Medicine

Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography

Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...
GitHub

Email Department Classification Using NLP and Deep Learning

This project automates email classification using NLP and deep learning, sorting emails into Customer Service, IT, and HR departments. By utilizing deep learning models like BiGRU and BiLSTM, the ...