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Refinado por: Base de dados/Biblioteca: Engineered Materials Abstracts remover Nome da Publicação: Ieee Transactions On Medical Imaging remover
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1
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Shin, Hoo-Chang ; Roth, Holger R. ; Gao, Mingchen ; Lu, Le ; Xu, Ziyue ; Nogues, Isabella ; Yao, Jianhua ; Mollura, Daniel ; Summers, Ronald M.

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1285-1298

United States: IEEE

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2
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Schlemper, Jo ; Caballero, Jose ; Hajnal, Joseph V. ; Price, Anthony N. ; Rueckert, Daniel

IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.491-503

United States: IEEE

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3
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Tajbakhsh, Nima ; Shin, Jae Y. ; Gurudu, Suryakanth R. ; Hurst, R. Todd ; Kendall, Christopher B. ; Gotway, Michael B. ; Jianming Liang

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1299-1312

United States: IEEE

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4
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
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From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, Peter ; Geessink, Oscar ; Manson, Quirine ; Van Dijk, Marcory ; Balkenhol, Maschenka ; Hermsen, Meyke ; Ehteshami Bejnordi, Babak ; Lee, Byungjae ; Paeng, Kyunghyun ; Zhong, Aoxiao ; Li, Quanzheng ; Zanjani, Farhad Ghazvinian ; Zinger, Svitlana ; Fukuta, Keisuke ; Komura, Daisuke ; Ovtcharov, Vlado ; Cheng, Shenghua ; Zeng, Shaoqun ; Thagaard, Jeppe ; Dahl, Anders B. ; Lin, Huangjing ; Chen, Hao ; Jacobsson, Ludwig ; Hedlund, Martin ; cetin, Melih ; Halici, Eren ; Jackson, Hunter ; Chen, Richard ; Both, Fabian ; Franke, Jorg ; Kusters-Vandevelde, Heidi ; Vreuls, Willem ; Bult, Peter ; van Ginneken, Bram ; van der Laak, Jeroen ; Litjens, Geert

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.550-560

United States: IEEE

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5
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Menze, Bjoern H. ; Jakab, Andras ; Bauer, Stefan ; Kalpathy-Cramer, Jayashree ; Farahani, Keyvan ; Kirby, Justin ; Burren, Yuliya ; Porz, Nicole ; Slotboom, Johannes ; Wiest, Roland ; Lanczi, Levente ; Gerstner, Elizabeth ; Weber, Marc-Andre ; Arbel, Tal ; Avants, Brian B. ; Ayache, Nicholas ; Buendia, Patricia ; Collins, D. Louis ; Cordier, Nicolas ; Corso, Jason J. ; Criminisi, Antonio ; Das, Tilak ; Delingette, Herve ; Demiralp, Cagatay ; Durst, Christopher R. ; Dojat, Michel ; Doyle, Senan ; Festa, Joana ; Forbes, Florence ; Geremia, Ezequiel ; Glocker, Ben ; Golland, Polina ; Xiaotao Guo ; Hamamci, Andac ; Iftekharuddin, Khan M. ; Jena, Raj ; John, Nigel M. ; Konukoglu, Ender ; Lashkari, Danial ; Mariz, Jose Antonio ; Meier, Raphael ; Pereira, Sergio ; Precup, Doina ; Price, Stephen J. ; Riklin Raviv, Tammy ; Reza, Syed M. S. ; Ryan, Michael ; Sarikaya, Duygu ; Schwartz, Lawrence ; Hoo-Chang Shin ; Shotton, Jamie ; Silva, Carlos A. ; Sousa, Nuno ; Subbanna, Nagesh K. ; Szekely, Gabor ; Taylor, Thomas J. ; Thomas, Owen M. ; Tustison, Nicholas J. ; Unal, Gozde ; Vasseur, Flor ; Wintermark, Max ; Dong Hye Ye ; Liang Zhao ; Binsheng Zhao ; Zikic, Darko ; Prastawa, Marcel ; Reyes, Mauricio ; Van Leemput, Koen

IEEE transactions on medical imaging, 2015-10, Vol.34 (10), p.1993-2024

United States: IEEE

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6
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
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A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

Kumar, Neeraj ; Verma, Ruchika ; Sharma, Sanuj ; Bhargava, Surabhi ; Vahadane, Abhishek ; Sethi, Amit

IEEE transactions on medical imaging, 2017-07, Vol.36 (7), p.1550-1560

United States: IEEE

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7
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Bernard, Olivier ; Lalande, Alain ; Zotti, Clement ; Cervenansky, Frederick ; Yang, Xin ; Heng, Pheng-Ann ; Cetin, Irem ; Lekadir, Karim ; Camara, Oscar ; Gonzalez Ballester, Miguel Angel ; Sanroma, Gerard ; Napel, Sandy ; Petersen, Steffen ; Tziritas, Georgios ; Grinias, Elias ; Khened, Mahendra ; Kollerathu, Varghese Alex ; Krishnamurthi, Ganapathy ; Rohe, Marc-Michel ; Pennec, Xavier ; Sermesant, Maxime ; Isensee, Fabian ; Jager, Paul ; Maier-Hein, Klaus H. ; Full, Peter M. ; Wolf, Ivo ; Engelhardt, Sandy ; Baumgartner, Christian F. ; Koch, Lisa M. ; Wolterink, Jelmer M. ; Isgum, Ivana ; Jang, Yeonggul ; Hong, Yoonmi ; Patravali, Jay ; Jain, Shubham ; Humbert, Olivier ; Jodoin, Pierre-Marc

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

United States: IEEE

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8
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
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Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Pereira, Sergio ; Pinto, Adriano ; Alves, Victor ; Silva, Carlos A.

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1240-1251

United States: IEEE

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9
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
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Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

Setio, Arnaud Arindra Adiyoso ; Ciompi, Francesco ; Litjens, Geert ; Gerke, Paul ; Jacobs, Colin ; van Riel, Sarah J. ; Wille, Mathilde Marie Winkler ; Naqibullah, Matiullah ; Sanchez, Clara I. ; van Ginneken, Bram

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1160-1169

United States: IEEE

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10
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
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EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Twinanda, Andru P. ; Shehata, Sherif ; Mutter, Didier ; Marescaux, Jacques ; de Mathelin, Michel ; Padoy, Nicolas

IEEE transactions on medical imaging, 2017-01, Vol.36 (1), p.86-97

United States: IEEE

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