File:Optimising CT Image Analysis & Visualisation For the Clinical Environment.pdf
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A prototype application has been development to act as a research enabling tool which optimises the image analysis, which would be required to expand automatic localisation to different cancer types.
Summary edit
| Description |
English: Prostate cancer alone afflicts over 40,000 men in the UK annually (Prostate Cancer UK, 2013). Up to this point the effectiveness of detecting and localising abnormalities has been through manual processes which are subject to human error. As a consequence the need to negate such errors has led to research towards an automatic localisation method specifically aimed at prostate cancer; highlighting the potential of such research to expand to localise other types of cancer. To this end the prototype application has been development to act as a research enabling tool which optimises the image analysis, which would be required to expand automatic localisation to different cancer types. This is achieved through the building of 3 modules, for the visualisation, in 2D & 3D, and reporting of internal prototype information. |
| Date | |
| Source | Own work |
| Author | Ben Walker |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 14:47, 18 May 2022 |  | 1,239 × 1,754, 61 pages (1.25 MB) | DigitalTux (talk | contribs) | Uploaded own work with UploadWizard |
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