Project Details
| Status | Finished |
|---|---|
| Effective start/end date | 2015/11/11 → 2022/12/09 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Subject classification (UKÄ)
- Radiology and Medical Imaging
- Clinical Medicine
Research output
- 3 Article
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Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
Trägårdh, E., Enqvist, O., Ulén, J., Hvittfeldt, E., Garpered, S., Belal, S. L., Bjartell, A. & Edenbrandt, L., 2022, In: European Journal of Nuclear Medicine and Molecular Imaging. 49, 10, p. 3412-3418Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases
Lindgren Belal, S., Sadik, M., Kaboteh, R., Enqvist, O., Ulén, J., Poulsen, M. H., Simonsen, J., Høilund-Carlsen, P. F., Edenbrandt, L. & Trägårdh, E., 2019, In: European Journal of Radiology. 113, p. 89-95 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
Lindgren Belal, S., Sadik, M., Kaboteh, R., Hasani, N., Enqvist, O., Svärm, L., Kahl, F., Simonsen, J., Poulsen, M. H., Ohlsson, M., Høilund-Carlsen, P. F., Edenbrandt, L. & Trägårdh, E., 2017 Dec 1, In: EJNMMI Research. 7, 1, 15.Research output: Contribution to journal › Article › peer-review
Open Access