Referanslar
Abels, Esther, Liron Pantanowitz, Famke Aeffner, Mark D Zarella, Jeroen
van der Laak, Marilyn M Bui, Venkata NP Vemuri, et al. 2019.
“Computational Pathology Definitions, Best Practices, and
Recommendations for Regulatory Guidance: A White Paper from the Digital
Pathology Association.” The Journal of Pathology 249
(3): 286–94. https://doi.org/10.1002/path.5331.
Aeffner, Famke, Mark D. Zarella, Nathan Buchbinder, Marilyn M. Bui,
Matthew R. Goodman, Douglas J. Hartman, Giovanni M. Lujan, et al. 2019.
“Introduction to Digital Image Analysis in Whole-Slide Imaging: A
White Paper from the Digital Pathology Association.” Journal
of Pathology Informatics 10 (1): 9. https://doi.org/10.4103/jpi.jpi_82_18.
Alber, Maximilian, Stephan Tietz, Jonas Dippel, Timo Milbich, Timothée
Lesort, Panos Korfiatis, Moritz Krügener, et al. 2025. “Atlas: A
Novel Pathology Foundation Model by Mayo Clinic, Charité, and
Aignostics.” https://doi.org/10.48550/ARXIV.2501.05409.
Ardon, Orly, Sylvia L. Asa, Mark C. Lloyd, Giovanni Lujan, Anil Parwani,
Juan C. Santa-Rosario, Bryan Van Meter, et al. 2024.
“Understanding the Financial Aspects of Digital Pathology: A
Dynamic Customizable Return on Investment Calculator for Informed
Decision-Making.” Journal of Pathology Informatics 15
(December): 100376. https://doi.org/10.1016/j.jpi.2024.100376.
Barroso, Vincenzo Mitchell, Zhilong Weng, Lennert Glamann, Marcus Bauer,
Claudia Wickenhauser, Thomas Zander, Reinhard Büttner, Alexander Quaas,
and Yuri Tolkach. 2025. “Artificial IntelligenceBased
Single-Cell Analysis as a Next-Generation Histologic Grading Approach in
Colorectal Cancer: Prognostic Role and Tumor Biology Assessment.”
Modern Pathology 38 (7): 100771. https://doi.org/10.1016/j.modpat.2025.100771.
Boehm, Kevin M., Omar S. M. El Nahhas, Antonio Marra, Michele Waters,
Justin Jee, Lior Braunstein, Nikolaus Schultz, et al. 2025.
“Multimodal Histopathologic Models Stratify Hormone
Receptor-Positive Early Breast Cancer.” Nature
Communications 16 (1). https://doi.org/10.1038/s41467-025-57283-x.
Brodsky, Victor, Ehsan Ullah, Andrey Bychkov, Andrew H. Song, Eric E.
Walk, Peter Louis, Ghulam Rasool, et al. 2025. “Generative
Artificial Intelligence in Anatomic Pathology.” Archives of
Pathology & Laboratory Medicine 149 (4): 298–318. https://doi.org/10.5858/arpa.2024-0215-ra.
Cecchini, Matthew J., Michael J. Borowitz, Eric F. Glassy, Rama R.
Gullapalli, Steven N. Hart, Lewis A. Hassell, Robert J. Homer, Ronald
Jackups, Jeffrey L. McNeal, and Scott R. Anderson. 2024.
“Harnessing the Power of Generative Artificial Intelligence in
Pathology Education: Opportunities, Challenges, and Future
Directions.” Archives of Pathology & Laboratory
Medicine 149 (2): 142–51. https://doi.org/10.5858/arpa.2024-0187-ra.
Dippel, Jonas, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias
Winterhoff, Simon Schallenberg, Marius Kloft, et al. 2024.
“AI-Based Anomaly Detection for Clinical-Grade Histopathological
Diagnostics.” NEJM AI 1 (11). https://doi.org/10.1056/aioa2400468.
Fisher, Natalie C, Maurice B Loughrey, Helen G Coleman, Melvin D
Gelbard, Peter Bankhead, and Philip D Dunne. 2021. “Development of
a Semi-Automated Method for Tumour Budding Assessment in
Colorectal Cancer and Comparison with Manual Methods.”
Histopathology 80 (3): 485–500. https://doi.org/10.1111/his.14574.
Hassell, Lewis A., Syeda Fatima Absar, Chhavi Chauhan, Suzanne Dintzis,
Carol F. Farver, Samreen Fathima, Eric F. Glassy, et al. 2022.
“Pathology Education Powered by Virtual and Digital
Transformation: Now and the Future.” Archives of Pathology
& Laboratory Medicine 147 (4): 474–91. https://doi.org/10.5858/arpa.2021-0473-ra.
Hassell, Lewis A., Marika L. Forsythe, Ami Bhalodia, Thanh Lan, Tasnuva
Rashid, Astin Powers, Marilyn M. Bui, et al. 2025. “Toward
Optimizing the Impact of Digital Pathology and Augmented Intelligence on
Issues of Diagnosis, Grading, Staging and Classification.”
Modern Pathology, April, 100765. https://doi.org/10.1016/j.modpat.2025.100765.
Jackson, Brian R., Hooman H. Rashidi, Jochen K. Lennerz, and M. E. de
Baca. 2024. “Ethical and Regulatory Perspectives on Generative
Artificial Intelligence in Pathology.” Archives of Pathology
& Laboratory Medicine 149 (2): 123–29. https://doi.org/10.5858/arpa.2024-0205-ra.
Kearney, Staci J., Amanda Lowe, Jochen K. Lennerz, Anil Parwani, Marilyn
M. Bui, Katy Wack, Gina Giannini, and Esther Abels. 2021.
“Bridging the Gap: The Critical Role of Regulatory Affairs and
Clinical Affairs in the Total Product Life Cycle of Pathology Imaging
Devices and Software.” Frontiers in Medicine 8
(November). https://doi.org/10.3389/fmed.2021.765385.
Knuth, Donald E. 1984. “Literate Programming.” Comput.
J. 27 (2): 97–111. https://doi.org/10.1093/comjnl/27.2.97.
Lara, Haydee, Zaibo Li, Esther Abels, Famke Aeffner, Marilyn M. Bui,
Ehab A. ElGabry, Cleopatra Kozlowski, et al. 2021. “Quantitative
Image Analysis for Tissue Biomarker Use: A White Paper From the Digital
Pathology Association.” Applied Immunohistochemistry &
Molecular Morphology 29 (7): 479–93. https://doi.org/10.1097/pai.0000000000000930.
Lujan, Giovanni, Jennifer C. Quigley, Douglas Hartman, Anil Parwani,
Brian Roehmholdt, Bryan Van Meter, Orly Ardon, et al. 2021.
“Dissecting the Business Case for Adoption and Implementation of
Digital Pathology: A White Paper from the Digital Pathology
Association.” Journal of Pathology Informatics 12 (1):
17. https://doi.org/10.4103/jpi.jpi_67_20.
McCaffrey, Peter, Ronald Jackups, Jansen Seheult, Mark A. Zaydman,
Ulysses Balis, Harshwardhan M. Thaker, Hooman Rashidi, and Rama R.
Gullapalli. 2024. “Evaluating Use of Generative Artificial
Intelligence in Clinical Pathology Practice: Opportunities and the Way
Forward.” Archives of Pathology & Laboratory
Medicine 149 (2): 130–41. https://doi.org/10.5858/arpa.2024-0208-ra.
Pantanowitz, Liron, Marilyn M. Bui, Chhavi Chauhan, Ehab ElGabry, Lewis
Hassell, Zaibo Li, Anil V. Parwani, et al. 2022. “Rules of
Engagement: Promoting Academic-Industry Partnership in the Era of
Digital Pathology and Artificial Intelligence.” Academic
Pathology 9 (1): 100026. https://doi.org/10.1016/j.acpath.2022.100026.
Şeker, Mesut, M. Khalid Khan Niazi, Wei Chen, Wendy L. Frankel, and
Metin N. Gurcan. 2025. “Tumor Bud Classification in Colorectal
Cancer Using Attention-Based Deep Multiple Instance Learning and
Domain-Specific Foundation Models.” Cancers 17 (7):
1245. https://doi.org/10.3390/cancers17071245.
Singh, Rajendra, Ji Yeon Kim, Eric F. Glassy, Rajesh C. Dash, Victor
Brodsky, Jansen Seheult, M. E. de Baca, Qiangqiang Gu, Shannon Hoekstra,
and Bobbi S. Pritt. 2024. “Introduction to Generative Artificial
Intelligence: Contextualizing the Future.” Archives of
Pathology & Laboratory Medicine 149 (2): 112–22. https://doi.org/10.5858/arpa.2024-0221-ra.
Tsakiroglou, Anna Maria, Chris M Bacon, Daniel Shingleton, Gabrielle
Slavin, Prokopios Vogiatzis, Richard Byers, Christopher Carey, and
Martin Fergie. 2023. “Lymphoma Triage from H&E Using AI for
Improved Clinical Management.” Journal of Clinical
Pathology, November. https://doi.org/10.1136/jcp-2023-209186.
Vorontsov, Eugene, Alican Bozkurt, Adam Casson, George Shaikovski,
Michal Zelechowski, Kristen Severson, Eric Zimmermann, et al. 2024.
“A Foundation Model for Clinical-Grade Computational Pathology and
Rare Cancers Detection.” Nature Medicine 30 (10):
2924–35. https://doi.org/10.1038/s41591-024-03141-0.
Wang, Andrew T, Saugato Rahman Dhruba, Kun Wang, Emma M Campagnolo,
Eldad D Shulman, and Eytan Ruppin. 2025. “Deep Learning Inference
of Cell Type-Specific Gene Expression from Breast Tumor
Histopathology.” http://dx.doi.org/10.1101/2025.05.04.652089.
Zarella, Mark D., Douglas Bowman;, Famke Aeffner, Navid Farahani, Albert
Xthona;, Syeda Fatima Absar, Anil Parwani, Marilyn Bui, and Douglas J.
Hartman. 2018. “A Practical Guide to Whole Slide Imaging: A White
Paper From the Digital Pathology Association.” Archives of
Pathology & Laboratory Medicine 143 (2): 222–34. https://doi.org/10.5858/arpa.2018-0343-ra.
Zarella, Mark D., David S. McClintock, Harsh Batra, Rama R. Gullapalli,
Michael Valante, Vivian O. Tan, Shubham Dayal, et al. 2023.
“Artificial Intelligence and Digital Pathology: Clinical Promise
and Deployment Considerations.” Journal of Medical
Imaging 10 (05). https://doi.org/10.1117/1.jmi.10.5.051802.