Stain normalization of histopathology images using generative adversarial networks

Authors: Zanjani, Farhad Ghazvinian, Zinger, Svitlana, Bejnordi, Babak Ehteshami, van der Laak, Jeroen A W M, de With, Peter H. N.

Source: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on. :573-577 Apr, 2018

Relation: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Consensus based recommendations for the diagnosis of serous tubal intraepithelial carcinoma: an international Delphi study

Authors: Bogaerts, Joep M A, Bommel, Majke H D, Hermens, Rosella P M G, Steenbeek, Miranda P, Hullu, Joanne A, Laak, Jeroen A W M, Shih, Ie‐Ming, McCluggage, W Glenn, Gilks, C Blake, Carlson, Joseph W, Rabban, Joseph T, Ewing‐Graham, Patricia C, Killeen, Jeffrey L, Lastra, Ricardo, Parkash, Vinita, O'Riain, Ciaran, Staebler, Annette, Vang, Russell, Bulten, Johan, Vijver, Koen K, Sherman, Mark E, Desouki, Mohamed Mokhtar, Turashvili, Gulisa, Bart, Joost, Bosse, Tjalling, Kooreman, Loes F S, Singh, Naveena, Stewart, Colin J R, Lax, Sigurd F, Howitt, Brooke E, Xing, Deyin, Attygalle, Ayoma D, Vroobel, Katherine M, Schwartz, Lauren E, Jonges, Trudy G N, Nucci, Marisa, Schoolmeeste, Kenneth J, Devouassoux‐Shisheboran, Mojgan, Soong, Thing R, Simons, Michiel

Source: Histopathology. 83(1):67-79

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100191010786.0x000001&indx=1&recIds=ETOCvdc_100191010786.0x000001

A whole‐slide imaging based workflow reduces the reading time of pathologists

Authors: Baidoshvili, Alexi, Khacheishvili, Mariam, Laak, Jeroen A. W. M., Diest, Paul J.

Source: Pathology international. 73(3):127-134

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100182191078.0x000001&indx=1&recIds=ETOCvdc_100182191078.0x000001

A Survey on Deep Learning in Medical Image Analysis

Authors: Litjens, Geert, Kooi, Thijs, Bejnordi, Babak Ehteshami, Setio, Arnaud Arindra Adiyoso, Ciompi, Francesco, Ghafoorian, Mohsen, van der Laak, Jeroen A. W. M., van Ginneken, Bram, Sánchez, Clara I.

Source: Med Image Anal. (2017) 42:60-88

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/1702.05747

Classifying histopathological growth patterns for resected colorectal liver metastasis with a deep learning analysis.

Authors: Höppener, Diederik J, Aswolinskiy, Witali, Qian, Zhen, Tellez, David, Nierop, Pieter M H, Starmans, Martijn, Nagtegaal, Iris D, Doukas, Michail, Wilt, Johannes H W de, Grünhagen, Dirk J, Laak, Jeroen A W M van der, Vermeulen, Peter, Ciompi, Francesco, Verhoef, Cornelis

Source: BJS Open; Dec2024, Vol. 8 Issue 6, p1-9, 9p

Subject Terms: COLORECTAL liver metastasis, IMAGE compression, ACADEMIC medical centers, DEEP learning, OVERALL survival

A Novel Automatic Digital Algorithm that Accurately Quantifies Steatosis in NAFLD on Histopathological Whole‐Slide Images

Authors: Munsterman, Isabelle D., van Erp, Merijn, Weijers, Gert, Bronkhorst, Carolien, de Korte, Chris L., Drenth, Joost P. H., van der Laak, Jeroen A. W. M., Tjwa, Eric T. T. L.

Source: Cytometry.Part B.Clinical cytometry. 96(6):521-528

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100092743747.0x000001&indx=1&recIds=ETOCvdc_100092743747.0x000001

Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer

Authors: Balkenhol, Maschenka C. A., Bult, Peter, Tellez, David, Vreuls, Willem, Clahsen, Pieter C., Ciompi, Francesco, van der Laak, Jeroen A. W. M.

Source: Cellular oncology. 42(4):555-569

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100130350992.0x000001&indx=1&recIds=ETOCvdc_100130350992.0x000001

Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

Authors: Geessink, Oscar G. F., Baidoshvili, Alexi, Klaase, Joost M., Ehteshami Bejnordi, Babak, Litjens, Geert J. S., van Pelt, Gabi W., Mesker, Wilma E., Nagtegaal, Iris D., Ciompi, Francesco, van der Laak, Jeroen A. W. M.

Source: Cellular oncology. 42(3):331-341

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100130351252.0x000001&indx=1&recIds=ETOCvdc_100130351252.0x000001

Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate

Authors: Kobus, Thiele, van der Laak, Jeroen A. W. M., Maas, Marnix C., Hambrock, Thomas, Bruggink, Caroline C., de Kaa, Christina A. Hulsbergen-van, Scheenen, Tom W. J., Heerschap, Arend

Source: Radiology. 278(3):801-811

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN604950374&indx=1&recIds=ETOCRN604950374

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

Authors: Amgad, Mohamed, Stovgaard, Elisabeth Specht, Balslev, Eva, Thagaard, Jeppe, Chen, Weijie, Dudgeon, Sarah, Sharma, Ashish, Kerner, Jennifer K., Denkert, Carsten, Yuan, Yinyin, AbdulJabbar, Khalid, Wienert, Stephan, Savas, Peter, Voorwerk, Leonie, Beck, Andrew H., Madabhushi, Anant, Hartman, Johan, Sebastian, Manu M., Horlings, Hugo M., Hudeček, Jan, Ciompi, Francesco, Moore, David A., Singh, Rajendra, Roblin, Elvire, Balancin, Marcelo Luiz, Mathieu, Marie-Christine, Lennerz, Jochen K., Kirtani, Pawan, Chen, I-Chun, Braybrooke, Jeremy P., Pruneri, Giancarlo, Demaria, Sandra, Adams, Sylvia, Schnitt, Stuart J., Lakhani, Sunil R., Rojo, Federico, Comerma, Laura, Badve, Sunil S., Khojasteh, Mehrnoush, Symmans, W. Fraser, Sotiriou, Christos, Gonzalez-Ericsson, Paula, Pogue-Geile, Katherine L., Kim, Rim S., Rimm, David L., Viale, Giuseppe, Hewitt, Stephen M., Bartlett, John M. S., Penault-Llorca, Frédérique, Goel, Shom, Lien, Huang-Chun, Loibl, Sibylle, Kos, Zuzana, Loi, Sherene, Hanna, Matthew G., Michiels, Stefan, Kok, Marleen, Nielsen, Torsten O., Lazar, Alexander J., Bago-Horvath, Zsuzsanna, Kooreman, Loes F. S., van der Laak, Jeroen A. W. M., Saltz, Joel, Gallas, Brandon D., Kurkure, Uday, Barnes, Michael, Salgado, Roberto, Cooper, Lee A. D.

Source: NPJ breast cancer. 6(1)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100174456873.0x000001&indx=1&recIds=ETOCvdc_100174456873.0x000001

Value of Public Challenges for the Development of Pathology Deep Learning Algorithms.

Authors: Hartman, Douglas Joseph¹ hartmandj@upmc.edu, Van Der Laak, Jeroen A. W. M.^2,3, Gurcan, Metin N.⁴, Pantanowitz, Liron¹

Source: Journal of Pathology Informatics. 2/26/020, Vol. 11, p1-7. 7p. 1 Color Photograph, 2 Charts, 3 Graphs, 1 Map.

Subject Terms: *MACHINE learning, *ANATOMICAL pathology, *DEEP learning, *PATHOLOGY, *ALGORITHMS

Abundance of IgG4+ Plasma Cells in Isolated Reactive Lymphadenopathy Is No Indication of IgG4-Related Disease

Authors: Martinez, Laura Louzao, Friedländer, Elza, van der Laak, Jeroen A. W. M., Hebeda, Konnie M.

Source: American journal of clinical pathology. 142(4):459-466

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN601370278&indx=1&recIds=ETOCRN601370278

HER2, chromosome 17 polysomy and DNA ploidy status in breast cancer; a translational study

Authors: Halilovic, Altuna, Verweij, Dagmar I., Simons, Annet, Stevens-Kroef, Marian J. P. L., Vermeulen, Susan, Elsink, Janet, Tops, Bastiaan B. J., Otte-Höller, Irene, van der Laak, Jeroen A. W. M., van de Water, Carlijn, Boelens, Oliver B. A., Schlooz-Vries, Margrethe S., Dijkstra, Jeroen R., Nagtegaal, Iris D., Tol, Jolien, van Cleef, Patricia H. J., Span, Paul N., Bult, Peter

Source: Scientific reports. 9(1)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100131451254.0x000001&indx=1&recIds=ETOCvdc_100131451254.0x000001

Deep learning based tumor-stroma ratio scoring in colon cancer correlates with microscopic assessment.

Authors: Smit, Marloes A., Ciompi, Francesco, Bokhorst, John-Melle, van Pelt, Gabi W., Geessink, Oscar G. F., Putter, Hein, Tollenaar, Rob A. E. M., van Krieken, J. Han J. M., Mesker, Wilma E., van der Laak, Jeroen A. W. M.

Source: Journal of Pathology Informatics; 2023, Vol. 14, p1-7, 7p

Subject Terms: COLON cancer, MACHINE learning, DEEP learning, INTRACLASS correlation, RANK correlation (Statistics), ARTIFICIAL intelligence

MIB1 expression in basal cell layer: a diagnostic tool to identify premalignancies of the vulva

Authors: van der Avoort, Irene A M, van der Laak, Jeroen A W M, Paffen, Ard, Grefte, Johanna M M, Massuger, Leon F A G, de Wilde, Peter C M, de Hullu, Joanne A, Bulten, Johan

Source: In Modern Pathology July 2007 20(7):770-778

Pathologists’ first opinions on barriers and facilitators of computational pathology adoption in oncological pathology: an international study

Authors: Swillens, Julie E. M., Nagtegaal, Iris D., Engels, Sam, Lugli, Alessandro, Hermens, Rosella P. M. G., van der Laak, Jeroen A. W. M.

Source: Oncogene; 20230101, Issue: Preprints p1-12, 12p

Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions.

Authors: Bergshoeff, Verona E., Balkenhol, Maschenka C. A., Haesevoets, Annick, Ruland, Andrea, Chenault, Michelene N., Nelissen, Rik C., Peutz, Carine J., Clarijs, Ruud, Van der Laak, Jeroen A. W. M., Takes, Robert P., Van den Brekel, Michiel W., Van Velthuysen, Marie-Louise F., Ramaekers, Frans C. S., Kremer, Bernd, Speel, Ernst-Jan M.

Source: Cancers; Jul2022, Vol. 14 Issue 13, pN.PAG-N.PAG, 15p

Subject Terms: HEAD & neck cancer diagnosis, DISEASE progression, RISK assessment, CHROMOSOME abnormalities, LARYNGEAL diseases, FLUORESCENCE in situ hybridization, HISTOLOGICAL techniques, DESCRIPTIVE statistics, TUMOR markers, ODDS ratio, RECEIVER operating characteristic curves, SENSITIVITY & specificity (Statistics), DISEASE complications

Recommendations for diagnosing STIC: a systematic review and meta-analysis.

Authors: Bogaerts, Joep M. A., Steenbeek, Miranda P., van Bommel, Majke H. D., Bulten, Johan, van der Laak, Jeroen A. W. M., de Hullu, Joanne A., Simons, Michiel

Source: Virchows Archiv: European Journal of Pathology; Apr2022, Vol. 480 Issue 4, p725-737, 13p

Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning.

Authors: de Bel, Thomas, Litjens, Geert, Ogony, Joshua, Stallings-Mann, Melody, Carter, Jodi M., Hilton, Tracy, Radisky, Derek C., Vierkant, Robert A., Broderick, Brendan, Hoskin, Tanya L., Winham, Stacey J., Frost, Marlene H., Visscher, Daniel W., Allers, Teresa, Degnim, Amy C., Sherman, Mark E., van der Laak, Jeroen A. W. M.

Source: NPJ Breast Cancer; 1/19/2022, Vol. 8 Issue 1, p1-8, 8p

Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach.

Authors: Rutgers, Jikke J., Bánki, Tessa, van der Kamp, Ananda, Waterlander, Tomas J., Scheijde-Vermeulen, Marijn A., van den Heuvel-Eibrink, Marry M., van der Laak, Jeroen A. W. M., Fiocco, Marta, Mavinkurve-Groothuis, Annelies M. C., de Krijger, Ronald R.

Source: Diagnostic Pathology; 8/21/2021, Vol. 16 Issue 1, p1-6, 6p

Subject Terms: NEPHROBLASTOMA, HISTOPATHOLOGY, MEDICAL students, KIDNEY tumors, MACHINE learning