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Refinado por: Base de dados/Biblioteca: SpringerLINK Lecture Notes in Computer Science (2015) remover tipo de recurso: Anais de Congresso remover
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A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations
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A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations

Roth, Holger R. ; Lu, Le ; Seff, Ari ; Cherry, Kevin M. ; Hoffman, Joanne ; Wang, Shijun ; Liu, Jiamin ; Turkbey, Evrim ; Summers, Ronald M.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, p.520-527 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier
Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier
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Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier

Zhou, Xingxing ; Wang, Shuihua ; Xu, Wei ; Ji, Genlin ; Phillips, Preetha ; Sun, Ping ; Zhang, Yudong

Bioinformatics and Biomedical Engineering, p.201-209 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost
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Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost

Mensink, Thomas ; Verbeek, Jakob ; Perronnin, Florent ; Csurka, Gabriela

Computer Vision – ECCV 2012, 2012, p.488-501 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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4
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography
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A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography

Akselrod-Ballin, Ayelet ; Karlinsky, Leonid ; Alpert, Sharon ; Hasoul, Sharbell ; Ben-Ari, Rami ; Barkan, Ella

Deep Learning and Data Labeling for Medical Applications, p.197-205 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network
3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network
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3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network

Li, Sijin ; Chan, Antoni B.

Computer Vision -- ACCV 2014, p.332-347 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
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Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Wu, Guorong ; Kim, Minjeong ; Wang, Qian ; Gao, Yaozong ; Liao, Shu ; Shen, Dinggang

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, p.649-656 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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7
DeepMedic for Brain Tumor Segmentation
DeepMedic for Brain Tumor Segmentation
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DeepMedic for Brain Tumor Segmentation

Kamnitsas, Konstantinos ; Ferrante, Enzo ; Parisot, Sarah ; Ledig, Christian ; Nori, Aditya V. ; Criminisi, Antonio ; Rueckert, Daniel ; Glocker, Ben

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.138-149 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
A Study on Advanced Persistent Threats
A Study on Advanced Persistent Threats
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A Study on Advanced Persistent Threats

Chen, Ping ; Desmet, Lieven ; Huygens, Christophe

Communications and Multimedia Security, p.63-72 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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9
Fully Convolutional Network for Liver Segmentation and Lesions Detection
Fully Convolutional Network for Liver Segmentation and Lesions Detection
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Fully Convolutional Network for Liver Segmentation and Lesions Detection

Ben-Cohen, Avi ; Diamant, Idit ; Klang, Eyal ; Amitai, Michal ; Greenspan, Hayit

Deep Learning and Data Labeling for Medical Applications, p.77-85 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Diagnosing Error in Object Detectors
Diagnosing Error in Object Detectors
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Diagnosing Error in Object Detectors

Hoiem, Derek ; Chodpathumwan, Yodsawalai ; Dai, Qieyun

Computer Vision – ECCV 2012, p.340-353 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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