RISE Research Radar

Computer Science Open House 2022-2025

2023

3D Segmentation for CT Scan Images

Fehmi Ben Abdesslem, Yilei Diesmos, Magnus Boman

Summary

3D Segmentation for CT Scan Images. Using Machine Learning to identify organs in CT scan images and help clinicians find cancer metastases. Funded by Precision Medicine Centre at Karolinska Hospital (PMCK). Uses convolutional neural network architecture to segment organs.

Themes

computer-visionhealthcare

Keywords

CT scan, 3D segmentation, cancer detection, medical imaging, deep learning

Poster

3D Segmentation for CT Scan Images poster

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