Results 11 to 20 of about 2,110,259 (265)

Using Ensemble OCT-Derived Features beyond Intensity Features for Enhanced Stargardt Atrophy Prediction with Deep Learning

open access: yesApplied Sciences, 2023
Stargardt disease is the most common form of juvenile-onset macular dystrophy. Spectral-domain optical coherence tomography (SD-OCT) imaging provides an opportunity to directly measure changes to retinal layers due to Stargardt atrophy.
Zubin Mishra   +3 more
doaj   +1 more source

SPECTRAL UNMIXING BASED CONSTRUCTION OF LUNAR MINERAL ABUNDANCE MAPS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
In this study we apply a nonlinear spectral unmixing algorithm to a nearly global lunar spectral reflectance mosaic derived from hyper-spectral image data acquired by the Moon Mineralogy Mapper (M3) instrument.
V. Bernhardt, A. Grumpe, C. Wöhler
doaj   +1 more source

The role of advanced MRI in the development of treat-to-target therapeutic strategies, patient stratification and phenotyping in rheumatoid arthritis

open access: yesBMC Rheumatology, 2020
In this commentary, we discuss the potential of advanced imaging, particularly Dynamic Contrast Enhanced (DCE) magnetic resonance imaging (MRI) for the objective assessment of the inflammatory process in rheumatoid arthritis (RA).
Ali Mobasheri   +3 more
doaj   +1 more source

Oblique view individual tree crown delineation

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
Individual tree crown (ITC) segmentation supports numerous applications in forest management and ecology. In the latter context, special attention is dedicated to the study of angular reflection effects, caused by the interaction of incident sunlight ...
Christian Kempf   +5 more
doaj   +1 more source

Validation of aerosol estimation in atmospheric correction algorithm ATCOR [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Atmospheric correction of satellite images is necessary for many applications of remote sensing, i.e. computation of vegetation indices and biomass estimation. The first step in atmospheric correction is estimation of the actual aerosol properties.
B. Pflug   +3 more
doaj   +1 more source

Disparity Analysis of Images [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
An algorithm for matching images of real world scenes is presented. The matching is a specification of the geometrical disparity between the images and may be used to partially reconstruct the three-dimensional structure of the scene. Sets of candidate matching points are selected independently in each image.
Stephen T. Barnard, William B. Thompson
openaire   +2 more sources

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

open access: yesIEEE Access, 2019
In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li   +7 more
doaj   +1 more source

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

open access: yesApplied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang   +9 more
doaj   +1 more source

Oncological image analysis [PDF]

open access: yesMedical Image Analysis, 2016
Cancer is one of the world's major healthcare challenges and, as such, an important application of medical image analysis. After a brief introduction to cancer, we summarise some of the major developments in oncological image analysis over the past 20 years, but concentrating those in the authors' laboratories, and then outline opportunities and ...
J. Michael Brady   +3 more
openaire   +4 more sources

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

open access: yesIEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue   +9 more
doaj   +1 more source

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