Results 71 to 80 of about 1,822 (166)
An Improved Image Semantic Segmentation Method Based on Superpixels and Conditional Random Fields
Applied Sciences, 2018 This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different ...
Wei Zhao, Yi Fu, Xiaosong Wei, Hai Wang
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Artificial Intelligence–Based Approaches for Brain Tumor Segmentation in MRI: A Review
NMR in Biomedicine, Volume 38, Issue 11, November 2025.Manually segmenting brain tumors in magnetic resonance imaging is a time‐consuming task that requires years of professional experience and clinical expertise. We proposed a study, which contains a comprehensive review of the brain tumor segmentation techniques. It selects the effective approaches to better understand the AI applications for brain tumor
Khadija Bibi +9 more
wiley +1 more source
Breaking (Light) Barriers: Photoacoustics in Atherosclerotic Diseases
Journal of Cellular and Molecular Medicine, Volume 29, Issue 21, November 2025.ABSTRACT Photoacoustic imaging (PAI) is an emerging imaging modality that provides high‐resolution, spatiotemporal insights into anatomical structures, functional parameters and molecular characteristics of tissues. By leveraging both endogenous absorbers, such as lipids and collagen, and exogenous contrast agents like nanoparticles and molecular dyes,
Kayleigh van Dijk, Margreet R. de Vries
wiley +1 more source
Advances and Trends in Terrain Classification Methods for Off‐Road Perception
Journal of Field Robotics, Volume 42, Issue 7, Page 3515-3544, October 2025.ABSTRACT Off‐road autonomous vehicles (OAVs) are becoming increasingly popular for navigating challenging environments in agriculture, military, and exploration applications. These vehicles face unique challenges, such as unpredictable terrain, dynamic obstacles, and varying environmental conditions.
Tanzila Arafin +5 more
wiley +1 more source
Double-Branch Multilevel Skip Sparse Graph Attention Network for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingGraph neural networks (GNNs) offer a potent framework for learning and representing data with graph structures. In the context of hyperspectral images (HSIs) classification tasks, GNNs have been successfully employed. Among the diverse variations of GNNs,
Qingyan Wang +4 more
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Interdisciplinary Medicine, Volume 3, Issue 5, September 2025.Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He +9 more
wiley +1 more source
SmartBot, Volume 1, Issue 3, September 2025.This review presents recent advances in intelligent inspection robots for structural health monitoring. It highlights key technologies in sensing, data processing, and fault localization, along with challenges and future directions. The aim is to support practical deployment and promote intelligent, efficient, and autonomous monitoring systems ...
Dongjie Li +6 more
wiley +1 more source
A GEOBIA Methodology for Fragmented Agricultural Landscapes
Remote Sensing, 2015 Very high resolution remotely sensed images are an important tool for monitoring fragmented agricultural landscapes, which allows farmers and policy makers to make better decisions regarding management practices.
Angel Garcia-Pedrero +3 more
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A Goniometric System for Photometric and Polarization Measurements of Planetary Regolith Analogs
Earth and Space Science, Volume 12, Issue 9, September 2025.Abstract The Planetary Surface Texture Laboratory at the Johns Hopkins University Applied Physics Laboratory is a facility for the study of the photometric and polarization behavior of regolith analogs using an ∼1.5‐m‐radius arc goniometer system. This system characterizes the photometric and polarization response of granular materials (planetary ...
Lizeth O. Magaña +9 more
wiley +1 more source
Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of remote sensing. However, due to the time-consuming and labor-intensive data collection, there are few labeled datasets ...
Yangyang Li +6 more
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