Web: http://arxiv.org/abs/2103.10292

May 13, 2022, 1:10 a.m. | Gaël Varoquaux, Veronika Cheplygina

cs.CV updates on arXiv.org arxiv.org

Medical imaging is an important research field with many opportunities for
improving patients' health. However, there are a number of challenges that are
slowing down the progress of the field as a whole, such optimizing for
publication. In this paper we reviewed several problems related to choosing
datasets, methods, evaluation metrics, and publication strategies. With a
review of literature and our own analysis, we show that at every step,
potential biases can creep in. On a positive note, we also …

arxiv imaging learning machine machine learning medical medical imaging recommendations

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC