Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-b...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-10-01
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| Series: | Transplant International |
| Subjects: | |
| Online Access: | https://www.frontierspartnerships.org/articles/10.3389/ti.2023.11783/full |
| _version_ | 1827292169806807040 |
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| author | Alton B. Farris Mariam P. Alexander Ulysses G. J. Balis Laura Barisoni Peter Boor Peter Boor Roman D. Bülow Lynn D. Cornell Anthony J. Demetris Evan Farkash Meyke Hermsen Julien Hogan Julien Hogan Renate Kain Jesper Kers Jesper Kers Jun Kong Jun Kong Richard M. Levenson Alexandre Loupy Maarten Naesens Pinaki Sarder John E. Tomaszewski Jeroen van der Laak Jeroen van der Laak Dominique van Midden Yukako Yagi Kim Solez |
| author_facet | Alton B. Farris Mariam P. Alexander Ulysses G. J. Balis Laura Barisoni Peter Boor Peter Boor Roman D. Bülow Lynn D. Cornell Anthony J. Demetris Evan Farkash Meyke Hermsen Julien Hogan Julien Hogan Renate Kain Jesper Kers Jesper Kers Jun Kong Jun Kong Richard M. Levenson Alexandre Loupy Maarten Naesens Pinaki Sarder John E. Tomaszewski Jeroen van der Laak Jeroen van der Laak Dominique van Midden Yukako Yagi Kim Solez |
| author_sort | Alton B. Farris |
| collection | DOAJ |
| description | The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists’ visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community. |
| first_indexed | 2024-04-24T12:58:28Z |
| format | Article |
| id | doaj.art-3787b1837f31459b8eb3bb03b6acf0fb |
| institution | Directory Open Access Journal |
| issn | 1432-2277 |
| language | English |
| last_indexed | 2024-04-24T12:58:28Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Transplant International |
| spelling | doaj.art-3787b1837f31459b8eb3bb03b6acf0fb2024-04-05T16:40:29ZengFrontiers Media S.A.Transplant International1432-22772023-10-013610.3389/ti.2023.1178311783Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial DevelopmentsAlton B. Farris0Mariam P. Alexander1Ulysses G. J. Balis2Laura Barisoni3Peter Boor4Peter Boor5Roman D. Bülow6Lynn D. Cornell7Anthony J. Demetris8Evan Farkash9Meyke Hermsen10Julien Hogan11Julien Hogan12Renate Kain13Jesper Kers14Jesper Kers15Jun Kong16Jun Kong17Richard M. Levenson18Alexandre Loupy19Maarten Naesens20Pinaki Sarder21John E. Tomaszewski22Jeroen van der Laak23Jeroen van der Laak24Dominique van Midden25Yukako Yagi26Kim Solez27Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GE, United StatesDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United StatesDepartment of Pathology, University of Michigan, Ann Arbor, MI, United StatesDepartment of Pathology and Medicine, Duke University, Durham, NC, United StatesInstitute of Pathology, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University Clinic, Aachen, GermanyDepartment of Nephrology and Immunology, RWTH Aachen University Clinic, Aachen, GermanyInstitute of Pathology, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University Clinic, Aachen, GermanyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United StatesDepartment of Pathology, University of Pittsburgh, Pittsburgh, PA, United StatesDepartment of Pathology, University of Michigan, Ann Arbor, MI, United StatesDepartment of Pathology, Radboud University Medical Center, Nijmegen, NetherlandsDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, GE, United StatesNephrology Service, Robert Debré Hospital, University of Paris, Paris, France0Department of Pathology, Medical University of Vienna, Vienna, Austria1Department of Pathology, Amsterdam University Medical Centers, Amsterdam, Netherlands2Department of Pathology, Leiden University Medical Center, Leiden, Netherlands3Georgia State University, Atlanta, GA, United States4Emory University, Atlanta, GA, United States5Department of Pathology, University of California Davis Health System, Sacramento, CA, United States6Institut National de la Santé et de la Recherche Médicale, UMR 970, Paris Translational Research Centre for Organ Transplantation, and Kidney Transplant Department, Hôpital Necker, Assistance Publique-Hôpitaux de Paris, University of Paris, Paris, France7Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium8Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, Intelligent Critical Care Center, College of Medicine, University of Florida at Gainesville, Gainesville, FL, United States9Department of Pathology, The State University of New York at Buffalo, Buffalo, NY, United StatesDepartment of Pathology, Radboud University Medical Center, Nijmegen, Netherlands0Center for Medical Image Science and Visualization, Linköping University, Linköping, SwedenDepartment of Pathology, Radboud University Medical Center, Nijmegen, Netherlands1Memorial Sloan Kettering Cancer Center, New York, NY, United States2Department of Pathology, University of Alberta, Edmonton, AB, CanadaThe Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists’ visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community.https://www.frontierspartnerships.org/articles/10.3389/ti.2023.11783/fullBanffdigital pathologyartificial intelligencemachine learningimage analysis |
| spellingShingle | Alton B. Farris Mariam P. Alexander Ulysses G. J. Balis Laura Barisoni Peter Boor Peter Boor Roman D. Bülow Lynn D. Cornell Anthony J. Demetris Evan Farkash Meyke Hermsen Julien Hogan Julien Hogan Renate Kain Jesper Kers Jesper Kers Jun Kong Jun Kong Richard M. Levenson Alexandre Loupy Maarten Naesens Pinaki Sarder John E. Tomaszewski Jeroen van der Laak Jeroen van der Laak Dominique van Midden Yukako Yagi Kim Solez Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments Transplant International Banff digital pathology artificial intelligence machine learning image analysis |
| title | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
| title_full | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
| title_fullStr | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
| title_full_unstemmed | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
| title_short | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
| title_sort | banff digital pathology working group image bank artificial intelligence algorithm and challenge trial developments |
| topic | Banff digital pathology artificial intelligence machine learning image analysis |
| url | https://www.frontierspartnerships.org/articles/10.3389/ti.2023.11783/full |
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