Towards non-invasive Gleason grading of prostate cancer using diffusion weighted MRI
Prostate cancer is one of the most common cancer diagnosis in men. This project aimed to help in characterization and treatment planning of prostate cancer by producing a Gleason grading probability based on apparent diffusion coefficient (ADC). In a study, from which this project received the patie...
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Format: | Others |
Language: | English |
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Umeå universitet, Institutionen för fysik
2020
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172808 |