Results 131 to 140 of about 270,656 (363)

Deep Learning in Medical Hyperspectral Images: A Review [PDF]

, 2022
Rong Cui, He Yu, Tingfa Xu, Xiaoxue Xing, Xiaorui Cao, Kang Yan, Jiexi Chen   +6 more
openalex   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Ultraviolet Hyperspectral Interferometric Microscopy [PDF]

Frontiers in Optics 2017, 2017
Ultraviolet (UV) spectroscopy is a powerful tool for quantitative biochemical analysis, but its application to molecular imaging and microscopy has been limited. Here we describe our recent work on ultraviolet hyperspectral interferometric (UHI) microscopy, which leverages coherent detection of optical fields to overcome significant challenges ...
openaire   +2 more sources

Generative Adversarial Networks for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2018
A generative adversarial network (GAN) usually contains a generative network and a discriminative network in competition with each other. The GAN has shown its capability in a variety of applications.
Lin Zhu, Yushi Chen, Pedram Ghamisi, J. Benediktsson   +3 more
semanticscholar   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Physically Based Predictive Modelling of Archaeological Proxies Using Cropmarks

Archaeological Prospection, EarlyView.
ABSTRACT Cropmarks, as archaeological proxies, offer a valuable means of detecting buried sites through remote sensing. Yet, the scalability of such methods across varied archaeological contexts remains underexplored, and AI‐based modelling approaches are still in early stages.
Elias Gravanis, Athos Agapiou
wiley   +1 more source

A Review of Pharmaceutical Robot based on Hyperspectral Technology [PDF]

, 2022
Xuesan Su, Yaonan Wang, Jianxu Mao, Yurong Chen, Ating Yin, Bingrui Zhao, Hui Zhang, Min Liu   +7 more
openalex   +1 more source

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

Attention-Embedded Triple-Fusion Branch CNN for Hyperspectral Image Classification [PDF]

, 2023
Erlei Zhang, Jiayi Zhang, Jiaxin Bai, Jiarong Bian, Shaoyi Fang, Tao Zhan, Mingchen Feng   +6 more
openalex   +1 more source

Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data

Archaeological Prospection, EarlyView.
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley   +1 more source