Spatio-Spectral Classification of Hyperspectral Images for Brain Cancer Detection During Surgical Operations

PLoS ONE - United States
doi 10.1371/journal.pone.0193721
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2019English

Comparative Spatio-Spectral Heterogeneity Analysis Using Multispectral and Hyperspectral Airborne Images

Geo-Spatial Information Science
DevelopmentPlanningComputers in Earth SciencesGeography
2013English

A Hybrid DBN and CRF Model for Spectral-Spatial Classification of Hyperspectral Images

Statistics, Optimization and Information Computing
ControlInformation SystemsPattern RecognitionProbabilityUncertaintyComputer VisionOptimizationStatisticsSignal ProcessingArtificial Intelligence
2017English

Spectral and Spatial Classification of Hyperspectral Images Based on Random Multi-Graphs

Remote Sensing
EarthPlanetary Sciences
2018English

A Spatio-Spectral Camera for High Resolution Hyperspectral Imaging

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2017English

A Comparison Study of Different Marker Selection Methods for Spectral-Spatial Classification of Hyperspectral Images

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2015English

Spectral Regression Discriminant Analysis for Hyperspectral Image Classification

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2012English

A New Approach for Classification of Human Brain CT Images Based on Morphological Operations

Journal of Biomedical Science and Engineering
2010English

Spectral–Spatial Discriminant Feature Learning for Hyperspectral Image Classification

Remote Sensing
EarthPlanetary Sciences
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy