Abstract
The overwhelming production of images in modern radiology calls for computer assisted detection methods, especially in the application areas of often occurring tumours, such as breast-, colon- and chest tumours. We discuss several mechanisms in modern computer vision, for the automated detection of polyps in the colon with multi-slice CT with strongly reduced X-ray dose, for automated breast tumour detection with dynamic contrast enhanced MRI, the detection of pulmonary emboli in the lungs from multi-slice CT, and automated detection of stellate tumours in X-rays of the breast. Examples of advanced visualization techniques are discussed for the optimal presentation of the results to the clinicians.
| Original language | English |
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| Title of host publication | Proc. EPSM-ABEC |
| Place of Publication | Australia, Fremantle |
| Pages | 311- |
| Publication status | Published - 2007 |