Teaching Algorithms to Caption Ultrasound Images | Dr Mohammad Alsharid
Original Article Reference
This SciPod is a summary of the conference proceedings ‘Captioning Ultrasound Images Automatically’, from the International Conference on Medical Image Computing and Computer-Assisted Intervention. doi.org/10.1007/978-3-030-32251-9_37
About this episode
Medical professionals require years of training before they can describe ultrasound images of developing foetuses. Dr Mohammad Alsharid and colleagues from the Institute of Biomedical Engineering and Nuffield Department of Women’s and Reproductive Health at the University of Oxford suggest that this task could one day be carried out by machine learning algorithms. In their latest study, the team showed how neural networks, trained by the expert knowledge of real sonographers, could convert subtle features within the images into accurate, readable captions.
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Dr Samantha Dolan – Investigating Facilitators and Barriers to Electronic Immunisation Registry Implementation in Tanzania and Zambia
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In recent years, many researchers have been investigating the associations between wage, education, and productivity, to gather valuable insight that could guide business decision-making. Professor Qiao Wang at Capital University of Economics and Business in Beijing has recently carried out a study specifically exploring the possibility that the motivation and productivity of business managers could be affected by their levels of education.
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