AIMC Topic: Spectrum Analysis

Clear Filters Showing 91 to 100 of 173 articles

Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages.

Scientific reports May 21, 2021
Cerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, and normal aging. One method to study CMHs is to analyze histological sections (5-40 μm) stained with Prussian blue. Currently, users manually and sub...
Humans Deep Learning ROC Curve Data Interpretation, Statistical Disease Management Spectrum Analysis Image Processing, Computer-Assisted Cerebral Hemorrhage
View on PubMed DOI

Mapping soil salinity using a combined spectral and topographical indices with artificial neural network.

PloS one May 13, 2021
Monitoring the status of natural and ecological resources is necessary for conservation and protection. Soil is one of the most important environmental resources in agricultural lands and natural resources. In this research study, we used Landsat 8 a...
Neural Networks, Computer Salinity Electric Conductivity Iran Soil Spectrum Analysis Models, Theoretical Geography
View on PubMed DOI

Exploring photoacoustic spectroscopy-based machine learning together with metabolomics to assess breast tumor progression in a xenograft model ex vivo.

Laboratory investigation; a journal of technical methods and pathology Apr 19, 2021
In the current study, a breast tumor xenograft was established in athymic nude mice by subcutaneous injection of the MCF-7 cell line and assessed the tumor progression by photoacoustic spectroscopy combined with machine learning tools. The advancemen...
Humans Machine Learning Spectrum Analysis Photoacoustic Techniques Mice, Nude Metabolomics Breast Neoplasms MCF-7 Cells Mammary Neoplasms, Experimental Animals Image Interpretation, Computer-Assisted Algorithms Mice Female
View on PubMed DOI

Rapid and non-destructive spectroscopic method for classifying beef freshness using a deep spectral network fused with myoglobin information.

Food chemistry Feb 23, 2021
A simple, novel, rapid, and non-destructive spectroscopic method that employs the deep spectral network for beef-freshness classification was developed. The deep-learning-based model classified beef freshness by learning myoglobin information and ref...
Myoglobin Deep Learning Cattle Red Meat Food Quality Spectrum Analysis Animals
View on PubMed DOI

Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.

IEEE transactions on medical imaging Feb 3, 2021
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel application of deep learning principles to reconstruct undersampled PAM imag...
Animals Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Spectrum Analysis Mice Microscopy
View on PubMed DOI

Novel Method Based on Hollow Laser Trapping-LIBS-Machine Learning for Simultaneous Quantitative Analysis of Multiple Metal Elements in a Single Microsized Particle in Air.

Analytical chemistry Jan 5, 2021
Elemental identification of individual microsized aerosol particles is an important topic in air pollution studies. However, simultaneous and quantitative analysis of multiple constituents in a single aerosol particle with the noncontact in situ mann...
Spectrum Analysis Lasers Air Pollutants Particulate Matter Metals Machine Learning Particle Size
View on PubMed DOI

Deep learning for species identification of bolete mushrooms with two-dimensional correlation spectral (2DCOS) images.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 14, 2020
Bolete is well-known and widely consumed mushroom in the world. However, its medicinal properties and nutritional are completely different from one species to another. Therefore, the consumers need a fast and effective detection method to discriminat...
Neural Networks, Computer Deep Learning Spectrum Analysis Agaricales
View on PubMed DOI

Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms.

Scientific reports Oct 15, 2020
Nondestructive techniques for estimating nitrogen (N) status are essential tools for optimizing N fertilization input and reducing the environmental impact of agricultural N management, especially in green tea cultivation, which is notably problemati...
Nitrogen Spectrum Analysis Chlorophyll Machine Learning Plant Leaves Algorithms Camellia sinensis
View on PubMed DOI

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.

Sensors (Basel, Switzerland) Sep 16, 2020
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the...
Least-Squares Analysis Machine Learning Aircraft Seasons Plant Tubers Solanum tuberosum Agriculture Spectrum Analysis Remote Sensing Technology
View on PubMed DOI

Deep learning protocol for improved photoacoustic brain imaging.

Journal of biophotonics Aug 17, 2020
One of the key limitations for the clinical translation of photoacoustic imaging is penetration depth that is linked to the tissue maximum permissible exposures (MPE) recommended by the American National Standards Institute (ANSI). Here, we propose a...
Sheep Spectrum Analysis Photoacoustic Techniques Humans Infant, Newborn Neuroimaging Brain Animals Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals