BIOENGINEER

Deep Learning Segment Feature Classification Enhances Liver Cancer Detection from CT Scans

A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging ...
BIOENGINEER

Grape Leaf Variety Classification Benchmark Reveals Major Deep Learning Performance Hurdles

A benchmark of five transfer learning models on 8,000 field-collected grape leaf images showed top test accuracy reached only ...
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 ...
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 ...
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 ...
GitHub

A Hybrid Deep Learning Architecture for an Intelligent Library Search System with NLP

A Hybrid Deep Learning Architecture for an Intelligent Library Search System with NLP - RiteshPawar05/Smart-Library-Chatbot ...

What is "Transfer Learning" that achieves high accuracy with little data?

In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we cannot prepare such a large amount of data.This is where the technique called ...