Working at Medis
We are looking for students who can dedicate 16-24 hours a week to manually annotate image datasets, which is crucial for modern image segmentation approaches that rely on Deep Learning (DL). The process of annotating huge volumes of image data sets by experts is necessary before starting DL activity/training. After an initial thorough internal training, you will be responsible for annotating all these data sets as an expert. Are you our next Medical Image Annotator?
Modern image segmentation approaches use Deep Learning (DL) to analyze many data sets as automatically as possible. However, to build DL solutions, huge volumes of image data sets need to be segmented/annotated manually by experts before the DL activity/training can begin. To realize these annotations, we are looking for students, who are willing to spend 16-24 hours per week on such tracings/annotations. After an initial thorough internal training, you, as a medical image annotator, will be the expert who will annotate all these data sets.
At Medis we believe in empowering medical professionals with our innovative analytical solutions. Our software aims to provide our customers with the insights they need to definitively diagnose and treat cardiovascular disease, at the right time, in the right place.
For more than 30 years cardiologists, radiologists, researchers and industry partners worldwide have relied on Medis software, resulting in customers in more than 40 countries. Our headquarters are in Leiden, Netherlands, but we have subsidiaries and branch offices in the USA, Japan, Germany and the United Kingdom, as well as distributors and local agents in multiple countries
Interested in becoming an Medical Image Annotator?
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