Nature

Using microscopic imaging and ensemble deep learning to classify the provenance of archaeological ceramics

Archaeological ceramic artifacts, characterized by their extensive historical lineage and profound cultural implications, represent the crystallization of ancient laborers’ intellectual prowess. These ...
Nature

Advancements in fusion-based deep representation learning for enhanced cervical precancerous lesion classification using biomedical image analysis

One such prevalent kind of cancer among women is cervical cancer (CC). Fatality rates and incidence are progressively increasing, mainly in developing countries, due to a lack of experienced ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
News Medical

Using Deep Learning for Brain Imaging Data Analysis

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
technologynetworks

Deep Learning in High-Content Screening Imaging

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...