
The following abstract is drawn from a recently published paper in Journal of Pathology Informatics. We invite you to read the full paper and join the conversation, become a member of the Pathology News community to share your thoughts, ask questions, and engage with others around this work.
Authors: Chhavi Chauhana, Anil Parwanib, Vanessa Schumacherc, Manu Sebastiand, Marilyn M. Buie, Pei-Chen Linf, Scott Blakelyg, Samreen Fathimah, Jeff Gibbsi, Uwe Horchnerj, Giovanni Lujanb, Robert Y. Osamurak, Liron Pantanowitzl, Jennifer Samboym, Christina Ziogan, Markus Herrmanno, Joe Yehp, Handy Oenq, Rajesh C. Dashr, Jochen K. Lennerzs,u, Joachim Schmidt,u
Abstract
Background
Methods
Results
Conclusion
Read the full article: The critical role of standards for AI in digital pathology: Digital Pathology Association Concept Paper – ScienceDirect
- aAmerican Society for Investigative Pathology, Rockville, MD, USA
- bOhio State University, Columbus, OH, USA
- cRoche Pharma Research and Early Development, Roche Innovation Center, Basel, Switzerland
- dDepartment of Veterinary Medicine & Surgery, UT MD Anderson Cancer Center, Houston, TX, USA
- eMoffitt Cancer Center, Tampa, FL, USA
- fAetherAI, Taipei City, Taiwan
- gHamamatsu Corporation, Cranberry Township, PA, USA
- hLoyola University Medical Center, Maywood, IL, USA
- iHyman, Phelps & McNamara, PC, Washington, DC, USA
- jF. Hoffmann-La Roche, CA, USA
- kNippon Koukan Hospital
- lUniversity of Pittsburgh
- mPhilips, NY, USA
- nCytopathology Department, “G. Papanicolaou” General Hospital of Thessaloniki, Greece
- oF. Hoffmann-La Roche, CA, USA
- pNA
- qDepartment of Pathology and Laboratory Medicine, Memorial Sloan-Kettering Cancer Center, New York, USA
- rDuke University Health System, NC, USA
- sBostonGene, Waltham, USA
- tIlumina, USA
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