AZoOptics

Deep Learning in Optical Microscopy: Advancements and Applications

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
inforum

Besides Koi Perich, who’s leaving Gophers via the transfer portal?

The Minnesota Gophers football team has had 21 total players from its 2025 roster announce their intent to enter the transfer portal, which opened on Friday. There is one clear headliner — All-Big Ten ...
Frontiers

A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...
IEEE

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. To address ...
IEEE

Incremental Classification of Cross-Scene Hyperspectral Images Based on Dual Constraints and Knowledge Transfer

Abstract: With the rapid advancement of hyperspectral imaging technology, there has been a dramatic surge in the volume of hyperspectral data, presenting unprecedented challenges for the incremental ...