Suchergebnisse - "Deep learning-based algorithms"

Prediction of freeze–thaw and thermal shock weathering on natural stones through deep learning-based algorithms von Sakcali, A.

“… Natural stones used as construction materials in outdoor applications and the rock environment in rock engineering applications are subject to weakening such as freeze-thaw (F-T) and thermal shock (TS …”
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Clinical Validation and Extension of an Automated, Deep Learning-Based Algorithm for Quantitative Sinus CT Analysis von Massey, C J, Ramos, L, Beswick, D M, Ramakrishnan, V R, Humphries, S M

“… Sinus CT is critically important for the diagnosis of chronic rhinosinusitis. While CT is sensitive for detecting mucosal disease, automated methods for …”
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Development and validation of a deep learning-based algorithm for drowsiness detection in facial photographs von Husain, Syed Sameed, Mir, Junaid, Anwar, Syed Muhammad, Rafique, Waqas, Ullah, Muhammad Obaid

“… Towards ameliorating this, we first present a comprehensive real drowsy data curated from 50 subjects, where subjects are labeled as fresh or drowsy …”
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Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity von Baccouch, Wafa, Hasnaoui, Bilel, Benameur, Narjes, Jemai, Abderrazak, Lahidheb, Dhaker, Labidi, Salam

“… This study aims to propose an automated framework for the quantification of LVH extent and the classification of myocardial segments according to hypertrophy severity using a deep learning-based algorithm …”
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Deep learning-based algorithm for automatic detection of incidental pulmonary embolism on contrast-enhanced CT: a multicenter multivendor study von Farzaneh, Hana, Junn, Jacqueline, Chaibi, Yasmina, Ayobi, Angela, Franciosini, Angelo, Scudeler, Marlene, Chow, Daniel, Weinberg, Brent

“… Incidenal pulmonary embolism (iPE) is increasingly detected on contrast-enhanced computed tomography (CECT) performed for non-PE indications, reflecting the …”
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Deep learning-based algorithm for the detection of idiopathic full thickness macular holes in spectral domain optical coherence tomography von Valentim, Carolina C. S., Wu, Anna K., Yu, Sophia, Manivannan, Niranchana, Zhang, Qinqin, Cao, Jessica, Song, Weilin, Wang, Victoria, Kang, Hannah, Kalur, Aneesha, Iyer, Amogh I., Conti, Thais, Singh, Rishi P., Talcott, Katherine E.

“… ) features and stages of severity in SD-OCT B-scans. Methods In this cross-sectional study, subjects solely diagnosed with either IFTMH or Posterior Vitreous Detachment (PVD …”
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0323 Design of a Deep Learning Based Algorithm forAutomatic Detection of Leg Movements During Sleep von Carvelli, L, Neergard Olesen, A, Leary, E B, Moore, H, Schneider, L D, Peppard, P E, Jennum, P J, Sørensen, H B, Mignot, E

“… ) and LMs were scored by experts using latest AASM criteria. The average number of LMs per subject was 185.5 …”
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A DEEP LEARNING BASED ALGORITHM FOR IMPROVING EFFICIENCY IN MULTIMEDIA APPLICATIONS von R, Jayadurga, M, Sathiya, G.K., Arpana

“… Therefore, the performance of these classifiers may not be fruitful. Choosing classifiers and dividing them into groups based on the subjects they cover are possible solutions that could lead to better classifier performance …”
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Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces von Roy, Sujit, Chowdhury, Anirban, McCreadie, Karl, Prasad, Girijesh

“… ). The recent success of deep learning-based algorithms in classifying different brain signals warrants further exploration to determine whether it is feasible for the inter-subject continuous decoding …”
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Deep learning-based detection of eosinophilic esophagitis von Guimarães, Pedro, Keller, Andreas, Fehlmann, Tobias, Lammert, Frank, Casper, Markus

“… Deep learning-based algorithms have demonstrated potential in medical image analysis …”
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Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging von Pan, Xiaoxi, Phan, Trong-Le, Adel, Mouloud, Fossati, Caroline, Gaidon, Thierry, Wojak, Julien, Guedj, Eric

“… Nevertheless, only part of MCI subjects could progress to AD. The main objective of this paper is thus to identify those who will develop a dementia of AD type among MCI patients …”
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Normative prospective data on automatically quantified retinal morphology correlated to retinal function in healthy ageing eyes by two microperimetry devices von Birner, Klaudia, Coulibaly, Leonard M., Schrittwieser, Johannes, Steiner, Irene, Mohamed, Hamza, Schürer‐Waldheim, Simon, Gumpinger, Markus, Bogunovic, Hrvoje, Schmidt‐Erfurth, Ursula, Reiter, Gregor S.

“…  years were examined using two MP devices, MP‐3 (NIDEK) and MAIA (iCare). An identical grid, encompassing 45 stimuli was used for retinal sensitivity (RS) assessment. Deep‐learning …”
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A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images von Cui, Yajie, Liu, Zhaoxiang, Lian, Shiguo

“… Improving efficiency as well as saving labor costs has steadily become a matter of great concern in practice, where deep learning-based algorithms perform better than traditional vision inspection …”
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Deep Learning -Based Algorithm for MRI Lumbar Vertebrae Instance Segmentation von AI-Haidri, Walid, Brui, Ekaterina, Usmanova, Indira, Salimov, Farkhad, Akhatov, Ainur, Al-Habeeb, Mohammed, Il'yasov, Kamil A.

“… Magnetic resonance (MR) morphometric analysis of the spine plays crucial role in clinical practice for diagnosis various anomalies, including osteoporosis, …”
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Deep learning-based algorithm for recognition of graduated cylinder in physical and chemical experiments von Gao, Chenxuan

“… This paper introduces an image intelligence algorithm with graduated cylinders as primary subject of study …”
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Repeatability of Microperimetry in Areas of Retinal Pigment Epithelium and Photoreceptor Loss in Geographic Atrophy Supported by Artificial Intelligence–Based Optical Coherence Tomography Biomarker Quantification von Coulibaly, Leonard M., Birner, Klaudia, Zarghami, Azin, Gumpinger, Markus, Schürer-Waldheim, Simon, Fuchs, Philipp, Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Reiter, Gregor S.

“… Growing interest in microperimetry (MP) or fundus-controlled perimetry as a targeted psychometric testing method in geographic atrophy (GA) is warranted …”
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Recurrent Network Solutions for Human Posture Recognition Based on Kinect Skeletal Data von Guerra, Bruna Maria Vittoria, Ramat, Stefano, Beltrami, Giorgio, Schmid, Micaela

“… ) that extract skeletal data can partially overcome these limits. In addition, deep learning-based algorithms, such as Recurrent Neural Networks (RNNs …”
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Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis von Wang, Shoucheng, Shao, Mingyi, Fu, Yu, Zhao, Ruixia, Xing, Yunfei, Zhang, Liujie, Xu, Yang

“… We utilized two deep learning-based algorithms (DeepSurv and Neural Multi-Task Logistic Regression [NMTLR …”
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ITER: Image-to-pixel Representation for Weakly Supervised HSI Classification von Yang, Jiaqi, Du, Bo, Wang, Di, Zhang, Liangpei

“… Recent years have witnessed the superiority of deep learning-based algorithms in the field of HSI classification …”
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Affective video recommender systems: A survey von Wang, Dandan, Zhao, Xiaoming

“… ) system, and it incorporates physical, physiological, neuroscience, and computer science subjects and multimedia resources, including text, audio, and video …”
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