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Method For Training A Deep Learning Model To Obtain Histopathological Information From Images - EP3639191

The patent EP3639191 was granted to Visiopharm on Jul 17, 2024. The application was originally filed on Jun 12, 2018 under application number EP18729159A. The patent is currently recorded with a legal status of "Patent Maintained As Amended".

EP3639191

VISIOPHARM
Application Number
EP18729159A
Filing Date
Jun 12, 2018
Status
Patent Maintained As Amended
Jun 14, 2024
Publication Date
Jul 17, 2024
External Links
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FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EVJun 1, 2022EISENFUHR SPEISERADMISSIBLE

Patent Citations (9) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication Number
DESCRIPTIONWO2008080403
INTERNATIONAL-SEARCH-REPORTUS2012076390
INTERNATIONAL-SEARCH-REPORTWO2015049233
OPPOSITIONUS2010215227
OPPOSITIONUS2012076390
OPPOSITIONUS2016019695
OPPOSITIONUS2016321495
OPPOSITIONUS2017091937
OPPOSITIONUS2017103521

Non-Patent Literature (NPL) Citations (24) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference Text
OPPOSITION- Ciompi Francesco, "Computational Pathology and Artificial Intelligence. The role of immunohistochemistry", 14th European Congress on Digital Pathology and the 5th Nordic Symposium on Digital Pathology; Helsinki, Finland, The European Society of Digital and Integrative Pathology, (20180530), pages 1 - 43, XP093127334
OPPOSITION- Sharma Harshita, Norman Zerbe, Iris Klempert, Olaf Hellwich, Peter Hufnagl, "Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma WSI", 13th European Congress on Digital Pathology /ECDP 2016, (20160528), pages 1 - 19
OPPOSITION- Sharma Harshita, Norman Zerbe, Iris Klempert, Olaf Hellwich, Peter Hufnagl, "Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma WSI", 13th European Congress on Digital Pathology /ECDP 2016, (20160528), pages 1 - 19, XP055931208
OPPOSITION- Transcript of a video and audio recording of the speech given by H.Sharma with the slides of document 3 on May 28, 2016
OPPOSITION- Turkki Riku, Linder Nina, Kovanen Panu E., Pellinen Teijo, Lundin Johan, "Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples", Journal of Pathology Informatics, Medknow Publications and Media Pvt. Ltd., IN, IN , (20160901), vol. 7, no. 1, doi:10.4103/2153-3539.189703, ISSN 2153-3539, page 38
OPPOSITION- Røge Rasmus; Riber-Hansen Rikke; Nielsen Søren; Vyberg Mogens, "Proliferation assessment in breast carcinomas using digital image analysis based on virtual Ki67/cytokeratin double staining", Breast Cancer Research and Treatment, Springer US, New York, New York, (20160609), vol. 158, no. 1, doi:10.1007/s10549-016-3852-6, ISSN 0167-6806, pages 11 - 19, XP035996362
OPPOSITION- Nirschl Jeffrey J., Janowczyk Andrew, Peyster Eliot G., Frank Renee, Margulies Kenneth B., Feldman Michael D., Madabhushi Anant, "Deep Learning Tissue Segmentation in Cardiac Histopathology Images", Deep Learning for Medical Image Analysis, Elsevier , (20170131), pages 179 - 195, doi:10.1016/B978-0-12-810408-8.00011-0, ISBN 978-0-12-810408-8, XP093127350
OPPOSITION- Roberts Nicholas, Magee Derek, Song Yi, Brabazon Keeran, Shires Mike, Crellin Doreen, Orsi Nicolas M., Quirke Richard, Quirke Philip, Treanor Darren, "Toward Routine Use of 3D Histopathology as a Research Tool", The American Journal of Pathology, Elsevier Inc., US, US , (20120501), vol. 180, no. 5, doi:10.1016/j.ajpath.2012.01.033, ISSN 0002-9440, pages 1835 - 1842, XP093127339
OPPOSITION- Xu Jun; Luo Xiaofei; Wang Guanhao; Gilmore Hannah; Madabhushi Anant, "A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images", arXiv, (20160217), vol. 191, doi:10.1016/j.neucom.2016.01.034, pages 214 - 223, XP029495811
OPPOSITION- Nicholas Trahearn, David Epstein, Ian Cree, David Snead, Nasir Rajpoot, "Hyper-Stain Inspector: A Framework for Robust Registration and Localised Co-Expression Analysis of Multiple Whole-Slide Images of Serial Histology Sections", Scientific Reports, (20171201), vol. 7, no. 5641, doi:10.1038/s41598-017-05511-w, pages 1 - 13, XP055576458
OPPOSITION- Chang Young Hwan; Thibault Guillaume; Madin Owen; Azimi Vahid; Meyers Cole; Johnson Brett; Link Jason; Margolin Adam; Gray Joe W., "Deep learning based Nucleus Classification in pancreas histological images", 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, (20170711), doi:10.1109/EMBC.2017.8036914, pages 672 - 675, XP033152092
OPPOSITION- Lotz J.; Olesch J.; Muller B.; Polzin T.; Galuschka P.; Lotz J. M.; Heldmann S.; Laue H.; Gonzalez-Vallinas M.; Warth A.; Lahrmann B.; Grabe N.; Sedlaczek O.; Breuhahn K.; Modersitzki J., "Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images", IEEE Transactions on Biomedical Engineering, IEEE, USA, USA, (20160901), vol. 63, no. 9, doi:10.1109/TBME.2015.2503122, ISSN 0018-9294, pages 1812 - 1819, XP011620568
OPPOSITION- David Tellez; Maschenka Balkenhol; Irene Otte-Holler; Rob van de Loo; Rob Vogels; Peter Bult; Carla Wauters; Willem Vreuls; Suzanne Mol; Nico Karssemeijer; Geert Litjens; Jeroen van der Laak; Francesco Ciompi, "Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks", arXiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853, 201 Olin Library Cornell University Ithaca, NY 14853 , (20180817), doi:10.1109/TMI.2018.2820199, XP081258095
OPPOSITION- Lotz Johannes; Berger Judith; Müller Benedikt; Breuhahn Kai; Grabe Niels; Heldmann Stefan; Homeyer André; Lahrmann Bernd; Laue Hendrik; Olesch Janine; Schwier Michael; Sedlaczek Oliver; Warth Arne , "Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images", Progress in Biomedical Optics and Imaging, SPIE - International Society for Optical Engineering, BELLINGHAM, WA, US, BELLINGHAM, WA, US , (20140320), vol. 9041, doi:10.1117/12.2043381, ISSN 1605-7422, ISBN 978-1-5106-0027-0, pages 904104 - 904104-7, XP060030743
OPPOSITION- Yigitsoy Mehmet; Schmidt Günter, "Hierarchical patch-based co-registration of differently stained histopathology slides", Progress in Biomedical Optics and Imaging, SPIE - International Society for Optical Engineering, BELLINGHAM, WA, US, BELLINGHAM, WA, US , (20170301), vol. 10140, doi:10.1117/12.2254266, ISSN 1605-7422, ISBN 978-1-5106-0027-0, pages 1014009 - 1014009-6, XP060086715
OPPOSITION- Bulten Wouter; Hulsbergen-van de Kaa Christina A.; van der Laak Jeroen; Litjens Geert J. S., "Automated segmentation of epithelial tissue in prostatectomy slides using deep learning", Progress in Biomedical Optics and Imaging, SPIE - International Society for Optical Engineering, BELLINGHAM, WA, US, BELLINGHAM, WA, US , (20180306), vol. 10581, doi:10.1117/12.2292872, ISSN 1605-7422, ISBN 978-1-5106-0027-0, pages 105810S - 105810S-7, XP060104296
OPPOSITION- Jonathan Chappelow, Viswanath Satish, Monaco James, Rosen Mark, Tomaszewski John, Feldman Michael, Madabhushi Anant, "Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer", Proceedings of SPIE, Visual Communications and Image Processing 2005, SPIE, Visual Communications and Image Processing 2005, 2005, Beijing, China, Visual Communications and Image Processing 2005, 2005, Beijing, China, (20080306), vol. 6915, doi:10.1117/12.770703, ISSN 0277786X, pages 69150V - 69150V-12, XP055136936
OPPOSITION- Jan Modersitzki, "Chapter 2: Section 2.1 FAIR Theory", FAIR Flexible Algorithms for Image Registraton, US, Society for Industrial and Applied Mathematics, (20090101), pages 9 - 12, doi:10.1137/1.9780898718843.ch2, ISBN 978-0-898716-90-0, XP009551796
OPPOSITION- Fauzi Mohammad Faizal Ahmad, Pennell Michael, Sahiner Berkman, Chen Weijie, Shana’ah Arwa, Hemminger Jessica, Gru Alejandro, Kurt Habibe, Losos Michael, Joehlin-Price Amy, Kavran Christina, Smith Stephen M., Nowacki Nicholas, Mansor Sharmeen, Lozanski Gerard, Gurcan Metin N., "Classification of follicular lymphoma: the effect of computer aid on pathologists grading", BMC Medical Informatics and Decision Making volume, BIOMED CENTRAL, LONDON, GB, GB , (20151201), vol. 15, no. 1, doi:10.1186/s12911-015-0235-6, ISSN 1472-6947, pages 115 - 10, XP093127318
OPPOSITION- Chen Hao, Dou Qi, Wang Xi, Qin Jing, Heng Pheng, "Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks", Proceedings of the AAAI Conference on Artificial Intelligence, (20160221), vol. 30, no. 1, doi:10.1609/aaai.v30i1.10140, ISSN 2159-5399, pages 1160 - 1166, XP093127352
OPPOSITION- Sharma H, Zerbe N, Klempert I, Hellwich O, Hufnagl P, "Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images", Diagnostic Pathology, doi:10.17629/www.diagnosticpathology.eu-2016-8:230, (20160101), page 230, Diagnostic Pathology, URL: https://www.diagnosticpathology.eu/content/index.php/dpath/article/view/230/385, (20220614), XP055931219
OPPOSITION- Andrew Janowczyk, Madabhushi Anant, "Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases", Journal of Pathology Informatics, Medknow Publications and Media Pvt. Ltd., IN, IN , (20160726), vol. 7, no. 1, doi:10.4103/2153-3539.186902, ISSN 2153-3539, pages 1 - 18, XP055559403
OPPOSITION- Turkki Riku, Linder Nina, Kovanen Panu E., Pellinen Teijo, Lundin Johan, "Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples", Journal of Pathology Informatics, Medknow Publications and Media Pvt. Ltd., IN, IN , (20160901), vol. 7, no. 1, doi:10.4103/2153-3539.189703, ISSN 2153-3539, page 38, XP055931190
OPPOSITION- Sharma Harshita, Zerbe Norman, Heim Daniel, Wienert Stephan, Behrens Hans-Michael, Hellwich Olaf, Hufnagl Peter, "A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images ", Proceedings of the 10th International Conference on Computer Vision Theory and Applications, SCITEPRESS - Science and and Technology Publications, (20150101), doi:10.5220/0005247900370046, ISBN 978-989-7580-91-8, pages 37 - 46, XP055931227

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