Across domains, modalities, and scales of exploration, images form an integral subset of scientific measurements. Despite a deep appeal to human intuition, gaining understanding of image content remains challenging, and often relies on heuristics. Even so, the wealth of knowledge contained inside of images cannot be understated, and scikit-image, along with SciPy, provides a strong foundation upon which to build algorithms and applications for exploring this domain.
Author and contributor Juan Nuñez-Iglesias will lead this two-day workshop at the Jackson Laboratory on July 17-18, 2019. Please see the workshop website for more information
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