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Jenny Wang

As seen in: Forbes, Medium, MSN Australia, MSN Ireland, MSN Malaysia, MSN Singapore, MSN UK, The Startup, Business Insider, MSN South Africa and

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Articles

The Media Bias Detector: A framework for annotating and analyzing the news

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By DeNard V Simmons, Dongjun Li, Theo Bourdais, Amir Tohidi, Jenny Wang, Timothy Dörr, David Rothschild, Chris Callison-Burch, Duncan Watts, Samar Haider
| Science Magazine Verified
Abstract INTRODUCTION MATERIALS AND METHODS RESULTS DISCUSSION Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Abstract News organizations introduce bias into their coverage via the choices they make about which topics to cover (or ignore) and how to frame the issues they do decide to cover.
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Hot demand, cool solutions

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By Jenny Wang
| China Daily (Hong Kong) Verified
Record heat waves sweeping Europe have added impetus to the ‘Made-in-China’ label, with cooling-off brands fanning innovative technology into European households at record-high levels. Jenny Wang reports. Searing temperatures across Europe this summer have been unrelenting, triggering an unprecedented scramble to cool off.
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CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images

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By Andre Forjaz, Lucie Dequiedt, Tyler Newton, Saurabh Joshi Verified, Yu Shen, Eban Andrew Hanna, Praful R Nair, Arrun Sivasubramanian, Jenny Wang, Emily Lasse-Opsahl, Alexander Bell, Charles Steenbergen, Dao-Fu Dai, Laura Wood, Luciane T. Kagohara, Elana Fertig, Joseph J. Shatzel, Owen McCarty, Jamie O. Lo, Avi Z. Rosenberg, Ralph H. Hruban, Arrate Muñoz-Barrutia, Denis Wirtz, Ashley L. Kiemen, Valentina Matos-Romero, Jaime Gómez-Becerril, Diogo Fróis-Vieira, Julianna Czum
| Nature Verified
Abstract Image-based machine learning tools are powerful resources for analyzing medical images, with deep learning-based semantic segmentation commonly utilized to enable the spatial quantification of structures visible in images. However, dataset generation and training of segmentation algorithms requires advanced programming skills and intricate workflows, limiting their accessibility to scientists without prior coding expertise.
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