Prenatal assessment of placenta accreta spectrum disorders from ultrasound images using deep learning
This thesis addresses the task of developing deep-learning-based tools for assessing placenta accreta spectrum disorders (PASD), a series of placental abnormalities that drastically affect maternal health, on placental ultrasound scans obtained from prenatal examinations. The contribution of this...
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| Format: | Thesis |
| Language: | English |
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2019
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