Label-free optical imaging enables automated measurement of human white matter microstructure

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...
EurekAlert!

Mapping long range brain wiring with label free optical imaging

The uncinate fasciculus is a major white matter pathway involved in memory, emotion, and language, but its microscopic ...
EurekAlert!

Study reveals hidden damage in stony corals using 3D imaging and AI

Florida’s coral reefs are under siege from fast-spreading diseases like Stony Coral Tissue Loss Disease, yet their hidden structural impacts remain poorly understood. FAU researchers used advanced ...
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 ...
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, ...
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 ...
IEEE

Deep Learning-Based Segmentation for Porosity Analysis of PMMA from SEM Images

This study analyses pore size, porosity, and SEM image enhancement of Poly(methyl methacrylate) (PMMA) using contrast adjustment. It evaluates the performance of three segmentation methods: ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
IEEE

Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning-Based Image Segmentation

Abstract: For effective image segmentation, it is crucial to employ constraints informed by prior knowledge about the characteristics of the areas to be segmented to yield favorable segmentation ...