IEEE

Hyperspectral Image Classification via Neighborhood Adaptive Graph Isomorphism Network

Abstract: The graph convolutional network (GCN) has garnered significant attention in hyperspectral image (HSI) classification due to their ability to model non-Euclidean structured data. Compared ...
eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
IEEE

LapGraph-CutFS: A Deep Learning-Based Framework for Multi-Class Classification of Maize Leaf Pests, Diseases, and Healthy States

Abstract: Monitoring crop health is a critical component of sustainable agriculture, enabling the early detection and effective management of pests and diseases. We propose LapGraph-CutFS, a ...
Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...