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   Articles with "using convolutional" as a keyword



Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics

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recommendations! Published in 2022 at "Journal of Raman Spectroscopy"

DOI: 10.1002/jrs.6447

Abstract: Abstract Surface‐enhanced Raman spectroscopy (SERS) has wide diagnostic applications because of narrow spectral features that allow multiplexed analysis. Machine learning (ML) has been used for non‐dye‐labeled SERS spectra but has not been applied to SERS… read more here.

Keywords: spectroscopy; machine learning; using convolutional; convolutional neural ... See more keywords
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Automatic Tracking of Muscle Cross‐Sectional Area Using Convolutional Neural Networks with Ultrasound

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recommendations! Published in 2019 at "Journal of Ultrasound in Medicine"

DOI: 10.1002/jum.14995

Abstract: The purpose of this study was to develop an automatic tracking method for the muscle cross‐sectional area (CSA) on ultrasound (US) images using a convolutional neural network (CNN). The performance of the proposed method was… read more here.

Keywords: sectional area; cross sectional; muscle cross; using convolutional ... See more keywords

Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks

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recommendations! Published in 2018 at "International Journal of Legal Medicine"

DOI: 10.1007/s00414-018-1953-y

Abstract: Age assessment is used to estimate the chronological age of an individual who lacks legal documentation. Recent studies indicate that the ossification degree of the growth plates in the knee joint correlates with chronological age… read more here.

Keywords: age assessment; using convolutional; images using; age ... See more keywords

Simple diagnosis for layered structure using convolutional neural networks

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recommendations! Published in 2024 at "Archive of Applied Mechanics"

DOI: 10.1007/s00419-024-02661-y

Abstract: In this study, we propose a structural health monitoring and diagnostic method for layered (multi-story) structures using a convolutional neural network (CNN). The proposed method is a primary diagnostic one, and its purpose is to… read more here.

Keywords: diagnosis; method; using convolutional; proposed method ... See more keywords

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks

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recommendations! Published in 2021 at "Neural Computing and Applications"

DOI: 10.1007/s00521-021-06469-7

Abstract: Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a challenging task as the signs and symptoms, particularly at an… read more here.

Keywords: using convolutional; diagnosis; disease diagnosis; convolutional neural ... See more keywords

Classification of orbital tumors using convolutional neural networks

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recommendations! Published in 2024 at "Neural Computing and Applications"

DOI: 10.1007/s00521-023-09406-y

Abstract: Orbital tumors are the most common eye tumors that affect people all over the world. Early detection prevents the progression to other regions of the eye and the body. Also, early identification and treatment could… read more here.

Keywords: orbital tumors; convolutional neural; system; using convolutional ... See more keywords
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Photographic painting style transfer using convolutional neural networks

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recommendations! Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7270-8

Abstract: We propose a novel automatic photographic painting style technique with a single example image by using Convolutional Neural Networks (CNN). The photographic painting style is a challenging problem in the research community. Even though, researchers… read more here.

Keywords: using convolutional; neural networks; photographic painting; convolutional neural ... See more keywords

Automated detection of COVID-19 from CT scan using convolutional neural network

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recommendations! Published in 2021 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2021.04.006

Abstract: Under the prevailing circumstances of the global pandemic of COVID-19, early diagnosis and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of the infected people would be a proactive measure. Artificial intelligence (AI) based… read more here.

Keywords: detection covid; using convolutional; convolutional neural; covid ... See more keywords

Arrhythmic Heartbeat Classification Using 2D Convolutional Neural Networks

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recommendations! Published in 2021 at "Irbm"

DOI: 10.1016/j.irbm.2021.04.002

Abstract: Abstract Background Electrocardiogram (ECG) is a method of recording the electrical activity of the heart and it provides a diagnostic means for heart-related diseases. Arrhythmia is any irregularity of the heartbeat that causes an abnormality… read more here.

Keywords: using convolutional; ecg; approach; heartbeat ... See more keywords

Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-96100-9

Abstract: Neonatal jaundice, characterized by elevated bilirubin levels causing yellow discoloration of the skin and eyes in newborns, is a critical condition requiring accurate and timely diagnosis. This study proposes a novel approach using 1D Convolutional… read more here.

Keywords: convolutional neural; using convolutional; neonatal jaundice; jaundice ... See more keywords
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Framework for TCAD augmented machine learning on multi- I – V characteristics using convolutional neural network and multiprocessing

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recommendations! Published in 2021 at "Journal of Semiconductors"

DOI: 10.1088/1674-4926/42/12/124101

Abstract: In a world where data is increasingly important for making breakthroughs, microelectronics is a field where data is sparse and hard to acquire. Only a few entities have the infrastructure that is required to automate… read more here.

Keywords: tcad augmented; machine learning; using convolutional; convolutional neural ... See more keywords