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Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.

B. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens, and J. van der Laak. CoRR, (2017)

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Abdollah Ehteshami

Alicja Babakhani

Behrouz Babaki

Sattar Babakhan

Farideh Babakhani

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Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.B. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens, and J. van der Laak. CoRR, (2017)Scalarization for Multi-Task and Multi-Domain Learning at Scale.A. Royer, T. Blankevoort, and B. Bejnordi. CoRR, (2023)Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images.B. Bejnordi, J. Lin, B. Glass, M. Mullooly, G. Gierach, M. Sherman, N. Karssemeijer, J. van der Laak, and A. Beck. ISBI, page 929-932. IEEE, (2017)A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images.B. Bejnordi, G. Litjens, M. Hermsen, N. Karssemeijer, and J. van der Laak. Medical Imaging: Digital Pathology, volume 9420 of SPIE Proceedings, page 94200H. SPIE, (2015)Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.M. Veta, Y. Heng, N. Stathonikos, B. Bejnordi, F. Beca, T. Wollmann, K. Rohr, M. Shah, D. Wang, M. Rousson and 9 other author(s). Medical Image Anal., (2019)Batch-Shaped Channel Gated Networks.B. Bejnordi, T. Blankevoort, and M. Welling. CoRR, (2019)Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis.R. Moshavegh, B. Bejnordi, A. Mehnert, K. Sujathan, P. Malm, and E. Bengtsson. EMBC, page 5372-5375. IEEE, (2012)MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers.J. Havtorn, A. Royer, T. Blankevoort, and B. Bejnordi. ICCV (Workshops), page 838-848. IEEE, (2023)Batch-shaping for learning conditional channel gated networks.B. Bejnordi, T. Blankevoort, and M. Welling. ICLR, OpenReview.net, (2020)A survey on deep learning in medical image analysis.G. Litjens, T. Kooi, B. Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken, and C. Sánchez. Medical Image Anal., (2017)

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Disambiguation of "Bejnordi, Babak Ehteshami"

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Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.

Please choose a person to relate this publication to

Abdollah Ehteshami

Alicja Babakhani

Behrouz Babaki

Sattar Babakhan

Farideh Babakhani

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bejnordi, Babak Ehteshami"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.

Please choose a person to relate this publication to

Abdollah Ehteshami

Alicja Babakhani

Behrouz Babaki

Sattar Babakhan

Farideh Babakhani

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.