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Hittade 2 uppsatser som matchar ovanstående sökkriterier.
1. Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : This master thesis is the study of multi-task learning to train a neural network to segment medical images and predict anatomical landmarks. The paper shows the results from experiments using medical landmarks in order to attempt to help the network learn the important organ structures quicker. LÄS MER
2. Application for Deriving 2D Images from 3D CT Image Data for Research Purposes
Kandidat-uppsats, KTH/Skolan för teknik och hälsa (STH)Sammanfattning : 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. LÄS MER
