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Found 2 essays matching the above criteria.

1. 1. Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Niels Agerskov; [2019]
   Keywords : Deep learning; spatial propagation; image segmentation; semi-automated;

   Abstract : Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. READ MORE

3. 2. Application for Deriving 2D Images from 3D CT Image Data for Research Purposes

   University essay from KTH/Skolan för teknik och hälsa (STH)

   Author : Niels Agerskov; Gabriel Carrizo; [2016]
   Keywords : ;

   Abstract : Karolinska University Hospital, Huddinge, Sweden, has long desired to plan hip prostheses with Computed Tomography (CT) scans instead of plain radiographs to save time and patient discomfort. This has not been possible previously as their current software is limited to prosthesis planning on traditional 2D X-ray images. READ MORE