The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
A review on segmentation of positron emission tomography images
Open accessAbstract
Positron Emission Tomography (PET), a non-invasive functional imaging method at the molecular level, images the distribution of biologically targeted radiotracers with high sensitivity. PET imaging provides detailed quantitative information about many diseases and is often used to evaluate inflammation, infection, and cancer by detecting emitted photons from a radiotracer localized to abnormal cells. In order to differentiate abnormal tissue from surrounding areas in PET images, image segmentation methods play a vital role; therefore, accurate image segmentation is often necessary for proper disease detection, diagnosis, treatment planning, and follow-ups. In this review paper, we present state-of-the-art PET image segmentation methods, as well as the recent advances in image segmentation techniques. In order to make this manuscript self-contained, we also briefly explain the fundamentals of PET imaging, the challenges of diagnostic PET image analysis, and the effects of these challenges on the segmentation results.
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Fonti, R., Conson, M., & Del Vecchio, S. (2019) · Seminars in Oncology · doi:10.1053/j.seminoncol.2019.07.001 · Cited by 153
Hepatic glucose metabolism in the steatotic liver
Scoditti, E., Sabatini, S., Carli, F., & Gastaldelli, A. (2024) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00888-8 · Cited by 134
Metadata
- Authors
- Foster, B., Bagci, U., Mansoor, A., Xu, Z., & Mollura, D. J.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 50
- Pages
- 76-96
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W1967362871
- Cited by
- 370
- References
- 128
- FWCI
- 27.30
- Type
- journal article
- Language
- en
- Open access
- green
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