Microscopy cell counting and detection with fully convolutional regression networks (English)
- New search for: Xie, Weidi
- New search for: Noble, J. Alison
- New search for: Zisserman, Andrew
- New search for: Xie, Weidi
- New search for: Noble, J. Alison
- New search for: Zisserman, Andrew
In:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
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6
, 3
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283-292
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2018
- Article (Journal) / Electronic Resource
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Title:Microscopy cell counting and detection with fully convolutional regression networks
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Contributors:
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Published in:
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Publisher:
- New search for: Taylor & Francis
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Publication date:2018-05-04
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Size:10 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 6, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 241
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1st MICCAI workshop on deep learning in medical image analysisCarneiro, Gustavo / Tavares, João Manuel R. S. / Bradley, Andrew P. / Papa, João Paulo / Nascimento, Jacinto C. / Cardoso, Jaime S. / Lu, Zhi / Belagiannis, Vasileios et al. | 2018
- 243
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Computational mammography using deep neural networksDubrovina, A. / Kisilev, P. / Ginsburg, B. / Hashoul, S. / Kimmel, R. et al. | 2018
- 248
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Deep similarity learning for multimodal medical imagesCheng, Xi / Zhang, Li / Zheng, Yefeng et al. | 2018
- 253
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An analysis of robust cost functions for CNN in computer-aided diagnosisBarbu, Adrian / Lu, Le / Roth, Holger / Seff, Ari / Summers, Ronald M. et al. | 2018
- 259
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Chest pathology identification using deep feature selection with non-medical trainingBar, Yaniv / Diamant, Idit / Wolf, Lior / Lieberman, Sivan / Konen, Eli / Greenspan, Hayit et al. | 2018
- 264
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Convolutional neural networks for real-time epileptic seizure detectionAchilles, Felix / Tombari, Federico / Belagiannis, Vasileios / Loesch, Anna Mira / Noachtar, Soheyl / Navab, Nassir et al. | 2018
- 270
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A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology imagesJanowczyk, Andrew / Doyle, Scott / Gilmore, Hannah / Madabhushi, Anant et al. | 2018
- 277
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Convolutional networks for kidney segmentation in contrast-enhanced CT scansThong, William / Kadoury, Samuel / Piché, Nicolas / Pal, Christopher J. et al. | 2018
- 283
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Microscopy cell counting and detection with fully convolutional regression networksXie, Weidi / Noble, J. Alison / Zisserman, Andrew et al. | 2018
- 293
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Comparison of anatomical parameters of cam femoroacetabular impingement to evaluate hip joint models segmented from CT dataNg, K. C. Geoffrey / Lamontagne, Mario / Labrosse, Michel R. / Beaulé, Paul E. et al. | 2018
- 303
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A new acute leukaemia-automated classification systemAgaian, Sos / Madhukar, Monica / Chronopoulos, Anthony T. et al. | 2018
- 315
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Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVMde Sampaio, Wener Borges / de Oliveira, Fernando Soares Sérvulo / de Carvalho Filho, Antonio Oseas / Silva, Aristófanes Corrêa / de Paiva, Anselmo Cardoso / Gattass, Marcelo et al. | 2018
- 331
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CVT-based 3D image segmentation and quality improvement of tetrahedral/hexahedral meshes using anisotropic Giaquinta-Hildebrandt operatorHu, Kangkang / Zhang, Yongjie Jessica / Xu, Guoliang et al. | 2018
- 343
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Cross-wavelet aided ECG beat classification using LIBSVMDhar, Priyadarshiny / Dutta, Saibal / Das, Prithwiraj / Mukherjee, Vivekananda et al. | 2018
- 353
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Numerical study of holographic electromagnetic induction technique for imaging arbitrarily shaped biological objectsWang, Lulu / Al-Jumaily, Ahmed et al. | 2018