Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction
Sign Up to like & getrecommendations! Published in 2020 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.23429
Abstract: The numbers of diagnosed patients by melanoma are drastic and contribute more deaths annually among young peoples. An approximately 192,310 new cases of skin cancer are diagnosed in 2019, which shows the importance of automated… read more here.
Keywords: seed; pixel based; features reduction; fusion multilevel ... See more keywords
Effects of Training Samples and Classifiers on Classification of Landsat-8 Imagery
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-018-0777-z
Abstract: In this study, we used Landsat-8 imagery to test object- and pixel-based image classification approaches in an urban fringe area. For object-based classification, we applied four machine learning classifiers: decision tree (DT), naive Bayes (NB),… read more here.
Keywords: effects training; classification; pixel based; training samples ... See more keywords
Combining block-based and pixel-based approaches to improve crack detection and localisation
Sign Up to like & getrecommendations! Published in 2021 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103492
Abstract: Abstract A variety of civil engineering applications require the identification of cracks in roads and buildings. In such cases, it is frequently helpful for the precise location of cracks to be identified as labelled parts… read more here.
Keywords: pixel based; approach; crack; block based ... See more keywords
A Highly Accurate Pixel-Based FRAP Model Based on Spectral-Domain Numerical Methods
Sign Up to like & getrecommendations! Published in 2019 at "Biophysical Journal"
DOI: 10.1016/j.bpj.2019.02.023
Abstract: We introduce a new, to our knowledge, numerical model based on spectral methods for analysis of fluorescence recovery after photobleaching data. The model covers pure diffusion and diffusion and binding (reaction-diffusion) with immobile binding sites,… read more here.
Keywords: recovery; estimation; diffusion; pixel based ... See more keywords
Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping
Sign Up to like & getrecommendations! Published in 2020 at "Catena"
DOI: 10.1016/j.catena.2019.104364
Abstract: The Ziarat Watershed, located in the south of the Golestan Province, Iran, has witnessed several destructive landslide episodes, prompting a number of researchers to aspire to improve landslide susceptibility modeling (LSM) techniques. We constructed three… read more here.
Keywords: landslide positioning; susceptibility; pixel based; positioning techniques ... See more keywords
Removal of volatile gasoline compounds by indoor potted plants studied by pixel-based fingerprinting analysis.
Sign Up to like & getrecommendations! Published in 2019 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2018.12.125
Abstract: Indoor potted plants are able to remove volatile organic compounds (VOC) from air, but only few studies have investigated the removal of compounds in mixtures. Here, we present a non-targeted pixel-based fingerprinting analysis documenting the… read more here.
Keywords: plant; pixel based; analysis; removal ... See more keywords
Comparison of object-based and pixel-based Random Forest algorithm for wetland vegetation mapping using high spatial resolution GF-1 and SAR data
Sign Up to like & getrecommendations! Published in 2017 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2016.09.029
Abstract: Abstract Vegetation is an integral component of wetland ecosystems. Mapping distribution, quality and quantity of wetland vegetation is important for wetland protection, management and restoration. This study evaluated the performance of object-based and pixel-based Random… read more here.
Keywords: based pixel; pixel based; wetland vegetation; object based ... See more keywords
Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles.
Sign Up to like & getrecommendations! Published in 2018 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2018.02.034
Abstract: OBJECTIVE Quantitative diffusion tensor imaging (DTI) of skeletal muscles is challenging due to the bias in DTI metrics, such as fractional anisotropy (FA) and mean diffusivity (MD), related to insufficient signal-to-noise ratio (SNR). This study… read more here.
Keywords: roi based; diffusion tensor; skeletal muscles; pixel based ... See more keywords
Pixel-based absolute surface metrology by three flat test with shifted and rotated maps
Sign Up to like & getrecommendations! Published in 2018 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2017.10.021
Abstract: Abstract In traditional three flat test, it only provides the absolute profile along one surface diameter. In this paper, an absolute testing algorithm based on shift-rotation with three flat test has been proposed to reconstruct… read more here.
Keywords: flat test; pixel based; surface; three flat ... See more keywords
Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.11.026
Abstract: Abstract Reliable representations of global urban extent remain limited, hindering scientific progress across a range of disciplines that study functionality of sustainable cities. We present an efficient and low-cost machine-learning approach for pixel-based image classification… read more here.
Keywords: pixel based; methodology; based image; land cover ... See more keywords
Improved ultrasound image quality with pixel-based beamforming using a Wiener-filter and a SNR-dependent coherence factor.
Sign Up to like & getrecommendations! Published in 2021 at "Ultrasonics"
DOI: 10.1016/j.ultras.2021.106594
Abstract: Pixel-based beamforming generates focused data by assuming that the waveforms received on a linear transducer array are composed of spherical pulses. It does not take into account the spatiotemporal spread in the data from the… read more here.
Keywords: wiener filter; coherence factor; based beamforming; pixel based ... See more keywords