Abstract
In this paper, we describe open practices and open resources in the field of digital pathology with a specific focus on approaches that ease collaboration in research and education settings. Our review includes open access journals and open peer review, open-source software (libraries, desktop tools, and web applications), and open access collections. We illustrate applications and discuss current limitations and perspectives.
Highlights
Open science paradigm promotes open, reproducible science through the sharing of all processes, data, material, and methods
It is remarkable to note that aforementioned open-source software development (OSS) and open data (OD) collections were successfully used in digital pathology (DP) in the recent years to address tens of diverse biomedical research questions or to teach histology and pathology to thousands of biomedical students
QuPath desktop software was used in various fields including oncology and immunology [19], cardiovascular diseases [20], or multiple sclerosis [21]
Summary
Open science paradigm promotes open, reproducible science through the sharing of all processes, data, material, and methods. In this Mini-Review paper, we discuss open initiatives that might pave the way to more collaborative digital pathology (DP) in the future. It publishes all types of papers related to DP, e.g., development and empirical evaluation of computational algorithms; studies and use cases in clinical, research, or education settings; book reviews or literature surveys; scientific conference reports; etc.
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