Text annotation for classification
The scope of the projet was to develop an automated pipeline in order to extract some specific datas from from free text radiology reports
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With extensive experience in data labeling and training AI models, I have honed my skills in applying and training machine learning algorithms for various image segmentation and classification projects during my studies. A key achievement that distinguishes me is the development of an AI-assisted application that monitors Parkinsondisease by analyzing audio recordings and detecting voice tremors. Additionally, I have contributed to a significant project at the largest hospital in the Netherlands, where I developed a pipeline for extracting data from radiology reports using Large Language Models (LLMs). These experiences underscore my ability to innovate and deliver impactful AI-driven solutions in healthcare and beyond.
The scope of the projet was to develop an automated pipeline in order to extract some specific datas from from free text radiology reports
Master in Artificial intelligence for image processing, Machine Learning
Intern in a medical image processing group (BIGR)
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