Títol: | Extraction of medical knowledge from clinical reports and chest x-rays using machine learning techniques |
Importa'l al teu calendari: |
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Tipus: | tesi | |
Per: | Aurelia Bustos Moreno | |
Lloc: | Claude Shannon | |
Dia/hora: | 11.30 01/07/2019 | |
Duració aproximada: | 2:00 hores | |
Persona de contacte: | Pertusa Ibáñez, Antonio Jorge (pertusadlsi.ua.es) | |
Resum: | This thesis addresses the extraction of medical knowledge from clinical text using deep learning techniques. In particular, the proposed methods focus on cancer clinical trial protocols and chest x-rays reports. As a result of this work, two large-scale labeled medical datasets were generated to help advance both the research area of patient's eligibility in clinical trials, and also the field of medical image recognition by making it possible to apply supervised deep learning techniques on x-rays to obtain radiological findings, anatomical localizations and pathologies. |
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