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Deep neural network‐based computer‐assisted detection of cerebral aneurysms in MR angiography
Deep neural network‐based computer‐assisted detection of cerebral aneurysms in MR angiography
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Deep neural network‐based computer‐assisted detection of cerebral aneurysms in MR angiography

Nakao, Takahiro ; Hanaoka, Shouhei ; Nomura, Yukihiro ; Sato, Issei ; Nemoto, Mitsutaka ; Miki, Soichiro ; Maeda, Eriko ; Yoshikawa, Takeharu ; Hayashi, Naoto ; Abe, Osamu

Journal of magnetic resonance imaging, 2018-04, Vol.47 (4), p.948-953 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system
Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system
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Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system

Meinel, Lina Arbash ; Stolpen, Alan H. ; Berbaum, Kevin S. ; Fajardo, Laurie L. ; Reinhardt, Joseph M.

Journal of magnetic resonance imaging, 2007-01, Vol.25 (1), p.89-95 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc., A Wiley Company

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3
Convolutional Neural Network-Based Computer-Assisted Diagnosis of Hashimoto's Thyroiditis on Ultrasound
Convolutional Neural Network-Based Computer-Assisted Diagnosis of Hashimoto's Thyroiditis on Ultrasound
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Convolutional Neural Network-Based Computer-Assisted Diagnosis of Hashimoto's Thyroiditis on Ultrasound

Zhao, Wanjun ; Kang, Qingbo ; Qian, Feiyan ; Li, Kang ; Zhu, Jingqiang ; Ma, Buyun

The journal of clinical endocrinology and metabolism, 2022-03, Vol.107 (4), p.953-963 [Periódico revisado por pares]

United States: Oxford University Press

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4
GraphDBLP: a system for analysing networks of computer scientists through graph databases: GraphDBLP
GraphDBLP: a system for analysing networks of computer scientists through graph databases: GraphDBLP
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GraphDBLP: a system for analysing networks of computer scientists through graph databases: GraphDBLP

Mezzanzanica, Mario ; Mercorio, Fabio ; Cesarini, Mirko ; Moscato, Vincenzo ; Picariello, Antonio

Multimedia tools and applications, 2018-07, Vol.77 (14), p.18657-18688 [Periódico revisado por pares]

New York: Springer US

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5
ResGANet: Residual group attention network for medical image classification and segmentation
ResGANet: Residual group attention network for medical image classification and segmentation
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ResGANet: Residual group attention network for medical image classification and segmentation

Cheng, Junlong ; Tian, Shengwei ; Yu, Long ; Gao, Chengrui ; Kang, Xiaojing ; Ma, Xiang ; Wu, Weidong ; Liu, Shijia ; Lu, Hongchun

Medical image analysis, 2022-02, Vol.76, p.102313-102313, Article 102313 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Automated pectoral muscle identification on MLO‐view mammograms: Comparison of deep neural network to conventional computer vision
Automated pectoral muscle identification on MLO‐view mammograms: Comparison of deep neural network to conventional computer vision
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Automated pectoral muscle identification on MLO‐view mammograms: Comparison of deep neural network to conventional computer vision

Ma, Xiangyuan ; Wei, Jun ; Zhou, Chuan ; Helvie, Mark A. ; Chan, Heang‐Ping ; Hadjiiski, Lubomir M. ; Lu, Yao

Medical physics (Lancaster), 2019-05, Vol.46 (5), p.2103-2114 [Periódico revisado por pares]

United States

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7
Deep learning
Deep learning
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Deep learning

LeCun, Yann ; Bengio, Yoshua ; Hinton, Geoffrey

Nature (London), 2015-05, Vol.521 (7553), p.436-444 [Periódico revisado por pares]

England: Nature Publishing Group

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8
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts

Cocos, Anne ; Fiks, Alexander G ; Masino, Aaron J

Journal of the American Medical Informatics Association : JAMIA, 2017-07, Vol.24 (4), p.813-821 [Periódico revisado por pares]

England: Oxford University Press

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9
Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core
Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core
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Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core

Kasasbeh, Aimen S ; Christensen, Søren ; Parsons, Mark W ; Campbell, Bruce ; Albers, Gregory W ; Lansberg, Maarten G

Stroke (1970), 2019-06, Vol.50 (6), p.1578-1581 [Periódico revisado por pares]

United States: American Heart Association, Inc

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10
Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI
Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI
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Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI

Arif, Muhammad ; Schoots, Ivo G. ; Castillo Tovar, Jose ; Bangma, Chris H. ; Krestin, Gabriel P. ; Roobol, Monique J. ; Niessen, Wiro ; Veenland, Jifke F.

European radiology, 2020-12, Vol.30 (12), p.6582-6592 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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