CT sinogram‐consistency learning for metal‐induced beam hardening correction
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13199
Abstract: PURPOSE This paper proposes a sinogram-consistency learning method to deal with beam hardening-related artifacts in polychromatic computerized tomography (CT). The presence of highly attenuating materials in the scan field causes an inconsistent sinogram that does… read more here.
Keywords: beam hardening; sinogram consistency; learning method; consistency learning ... See more keywords
The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-019-00230-2
Abstract: In this research, we exploit an image-based deep learning framework to distinguish three major subtypes of renal cell carcinoma (clear cell, papillary, and chromophobe) using images acquired with computed tomography (CT). A biopsy-proven benchmarking dataset… read more here.
Keywords: phase; deep learning; learning method; cell ... See more keywords
Audio fingerprint analysis for speech processing using deep learning method
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-021-09827-x
Abstract: We are generating truly mind-boggling amounts of audio data on a daily basis simply by using the Internet. In different audio-based applications, it increases the complexity of accessing and analyzing audio data. Therefore, the framework… read more here.
Keywords: fingerprint; audio fingerprint; learning method; speech processing ... See more keywords
The role of machine learning method in the synthesis and biological ınvestigation of heterocyclic compounds.
Sign Up to like & getrecommendations! Published in 2021 at "Molecular diversity"
DOI: 10.1007/s11030-021-10264-w
Abstract: Machine learning (ML) methods have attracted increasing interest in chemistry as in all fields of science in recent years. This method is of great importance for the design of targeted bioactive compounds, especially by avoiding… read more here.
Keywords: machine; machine learning; heterocyclic compounds; role machine ... See more keywords
Automatic control of cardiac ablation catheter with deep reinforcement learning method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-019-1036-0
Abstract: To reduce the radiation exposure of personnel during an interventional procedure for arrhythmia, a robot has been developed and implemented herein for use in interventional procedures. Studies on the control of an electrophysiology catheter by… read more here.
Keywords: catheter; control; reinforcement learning; robot ... See more keywords
A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09912-y
Abstract: Multi-label learning deals with the problem which each data example can be represented by an instance and associated with a set of labels, i.e., every example can be classified into multiple classes simultaneously. Most of… read more here.
Keywords: label; semi supervised; multi label; label learning ... See more keywords
Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
Sign Up to like & getrecommendations! Published in 2020 at "Clinical radiology"
DOI: 10.1016/j.crad.2020.08.038
Abstract: AIM To construct and validate a radiomics-based machine-learning method for preoperative prediction of distant metastasis (DM) from soft-tissue sarcoma. MATERIALS AND METHODS Seventy-seven soft-tissue sarcomas were divided into a training set (n=54) and a validation… read more here.
Keywords: learning method; radiomics based; machine learning; soft tissue ... See more keywords
A deep learning method for online capacity estimation of lithium-ion batteries
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Energy Storage"
DOI: 10.1016/j.est.2019.100817
Abstract: Abstract The past two decades have seen an increasing usage of lithium-ion (Li-ion) rechargeable batteries in diverse applications including consumer electronics, power backup, and grid-scale energy storage. To guarantee safe and reliable operation of a… read more here.
Keywords: learning method; ion; capacity; deep learning ... See more keywords
Deep learning method for predicting the mechanical properties of aluminum alloys with small data sets
Sign Up to like & getrecommendations! Published in 2021 at "Materials today communications"
DOI: 10.1016/j.mtcomm.2021.102570
Abstract: Abstract Big data is usually needed for a deep learning method to predict the properties of materials, but, in practice, only limited data sets are available for engineering materials. In this study, we develop a… read more here.
Keywords: mechanical properties; method; data sets; learning method ... See more keywords
The machine learning method of phase extraction in interferometry
Sign Up to like & getrecommendations! Published in 2018 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2018.06.021
Abstract: Abstract Phase extraction of interferometry is a crucial step of optical measurement. In this paper, a machine learning method is proposed to extract the phase from the interferometric signal with the least squares support vector… read more here.
Keywords: machine; phase; machine learning; extraction interferometry ... See more keywords
Rockburst prediction in kimberlite with unsupervised learning method and support vector classifier
Sign Up to like & getrecommendations! Published in 2019 at "Tunnelling and Underground Space Technology"
DOI: 10.1016/j.tust.2019.04.019
Abstract: Abstract One of the most serious types of mining disasters in many countries, rockburst leads to injuries, deaths, and damages to facilities, which explains the need to study its prediction. However, due to highly non-linear… read more here.
Keywords: rockburst prediction; learning method; unsupervised learning; prediction ... See more keywords