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Advanced Search Results For "DEEP learning"

1 - 10 of 129,336 results for
 "DEEP learning"
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Application of deep learning methods: From molecular modelling to patient classification.

Publication Type:Academic Journal

Source(s):Experimental cell research [Exp Cell Res] 2022 Sep 15; Vol. 418 (2), pp. 113278. Date of Electronic Publication: 2022 Jul 08.

Abstract:We are now well into the information driven age with complex, heterogeneous, datasets in the biological sciences continuing to grow at a rapid pace. Moreover, distilling of such datasets, to find new governing principles, are underway. Leading the surg...

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Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 08; Vol. 22 (18). Date of Electronic Publication: 2022 Sep 08.

Abstract:Deep learning (DL) enables the creation of computational models comprising multiple processing layers that learn data representations at multiple levels of abstraction. In the recent past, the use of deep learning has been proliferating, yielding promi...

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Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning.

Publication Type:Academic Journal

Source(s):European radiology experimental [Eur Radiol Exp] 2022 Sep 08; Vol. 6 (1), pp. 41. Date of Electronic Publication: 2022 Sep 08.

Abstract:Objectives: Malignancy of lipomatous soft-tissue tumours diagnosis is suspected on magnetic resonance imaging (MRI) and requires a biopsy. The aim of this study is to compare the performances of MRI radiomic machine learning (ML) analysis with deep lea...

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A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Aug 28; Vol. 22 (17). Date of Electronic Publication: 2022 Aug 28.

Abstract:Cooperative network is a promising concept for achieving a high-accuracy decision of spectrum sensing in cognitive radio networks. It enables a collaborative exchange of the sensing measurements among the network users to monitor the primary spectrum o...

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ResSUMO: A Deep Learning Architecture Based on Residual Structure for Prediction of Lysine SUMOylation Sites.

Publication Type:Academic Journal

Source(s):Cells [Cells] 2022 Aug 25; Vol. 11 (17). Date of Electronic Publication: 2022 Aug 25.

Abstract:Lysine SUMOylation plays an essential role in various biological functions. Several approaches integrating various algorithms have been developed for predicting SUMOylation sites based on a limited dataset. Recently, the number of identified SUMOylatio...

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Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms.

Publication Type:Academic Journal

Source(s):Frontiers in public health [Front Public Health] 2022 Aug 10; Vol. 10, pp. 937471. Date of Electronic Publication: 2022 Aug 10 (Print Publication: 2022).

Abstract:Background: In this paper, we examine whether machine learning and deep learning can be used to predict difficult airway intubation in patients undergoing thyroid surgery.Methods: We used 10 machine learning and deep learning algorithms to establish a ...

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Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.

Publication Type:Academic Journal

Source(s):Molecular therapy : the journal of the American Society of Gene Therapy [Mol Ther] 2022 Aug 03; Vol. 30 (8), pp. 2856-2867. Date of Electronic Publication: 2022 May 06.

Abstract:As one of the most prevalent post-transcriptional epigenetic modifications, N5-methylcytosine (m5C) plays an essential role in various cellular processes and disease pathogenesis. Therefore, it is important accurately identify m5C modifications in orde...

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Glomerular disease classification and lesion identification by machine learning.

Publication Type:Academic Journal

Source(s):Biomedical journal [Biomed J] 2022 Aug; Vol. 45 (4), pp. 675-685. Date of Electronic Publication: 2021 Sep 08.

Abstract:Background: Classification of glomerular diseases and identification of glomerular lesions require careful morphological examination by experienced nephropathologists, which is labor-intensive, time-consuming, and prone to interobserver variability. In...

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Development of lumbar spine MRI referrals vetting models using machine learning and deep learning algorithms: Comparison models vs healthcare professionals.

Publication Type:Academic Journal

Source(s):Radiography (London, England : 1995) [Radiography (Lond)] 2022 Aug; Vol. 28 (3), pp. 674-683. Date of Electronic Publication: 2022 Jun 11.

Abstract:Introduction: Referrals vetting is a necessary daily task to ensure the appropriateness of radiology referrals. Vetting requires extensive clinical knowledge and may challenge those responsible. This study aims to develop AI models to automate the vett...

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A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

Publication Type:Academic Journal

Source(s):BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2022 Jul 25; Vol. 22 (1), pp. 194. Date of Electronic Publication: 2022 Jul 25.

Abstract:Background: Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We developed a process mining/deep lea...

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