FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W646180767> ?p ?o ?g. }

• W646180767 abstract "CT colonography (CTC) is a minimally invasive method for detection of colorectal polyps and colon cancer. Limitations of CTC related to the efficiency as well as the sensitivity of radiologists. Additionally, the patient's preparation was considered burdensome and the X-ray radiation that is inherent to the technique increases the risk of cancer induction. In this thesis, computerized techniques from the fields of image processing and pattern recognition are proposed in order to increase the efficiency and the acceptance of CT colonography. An automated polyp detection method is introduced to assist the radiologist. This computer aided detection (CAD) system can be used as a second reader, since it is highly sensitive and may therefore enhance the observer's sensitivity. Additionally, the reading time may be reduced as only a few false positives are detected. The CAD system finds and classifies polyp candidates based on a measure indicating the amount of protrusion into the colon. Such protruding candidates are found by using a second principal curvature flow algorithm, which makes use of the knowledge about the normal colon shape. For classification of the candidates, a low-complex pattern recognition system is designed which is shown to be highly sensitive as well as robust to data from different medical centers. Furthermore, an extended electronic cleansing algorithm is proposed that facilitates 3D reading of data from patients adhering to a limited bowel preparation. The electronic cleansing algorithm relies on a preprocessing step using the same principal curvature flow technique that was previously introduced for automated polyp detection. As such, data from patients with a limited bowel preparation can be assessed with an unfolded cube fly-through visualization method, while it does not degradate the radiologist's detection performance. Lastly, the effect of reduced radiation dose is investigated. Therefore, a technique is developed for simulating low-dose Computed Tomography (CT) scans from reconstructed high-dose images. Essentially, this enables in-silico studies into the minimal dose for a particular diagnostic task. It is used to investigate the effectiveness of the automated polyp detection system when the radiation dose is minimized. In conclusion, this thesis presents novel techniques and results that open the way to large-scale screening of colorectal polyps and colon cancer using CT colonography." @default.
• W646180767 created "2016-06-24" @default.
• W646180767 creator A5025294210 @default.
• W646180767 date "2013-11-15" @default.
• W646180767 modified "2023-09-23" @default.
• W646180767 title "Computer Aided Detection of Polyps in CT Colonography" @default.
• W646180767 doi "https://doi.org/10.4233/uuid:d39b139f-a1ca-481e-8ab0-2da1b54f83e2" @default.
• W646180767 hasPublicationYear "2013" @default.
• W646180767 type Work @default.
• W646180767 sameAs 646180767 @default.
• W646180767 citedByCount "0" @default.
• W646180767 crossrefType "journal-article" @default.
• W646180767 hasAuthorship W646180767A5025294210 @default.
• W646180767 hasConcept C121608353 @default.
• W646180767 hasConcept C126322002 @default.
• W646180767 hasConcept C127413603 @default.
• W646180767 hasConcept C153180895 @default.
• W646180767 hasConcept C154945302 @default.
• W646180767 hasConcept C194789388 @default.
• W646180767 hasConcept C199639397 @default.
• W646180767 hasConcept C21200559 @default.
• W646180767 hasConcept C24326235 @default.
• W646180767 hasConcept C2776759754 @default.
• W646180767 hasConcept C2778435480 @default.
• W646180767 hasConcept C2779549770 @default.
• W646180767 hasConcept C31972630 @default.
• W646180767 hasConcept C34736171 @default.
• W646180767 hasConcept C41008148 @default.
• W646180767 hasConcept C526805850 @default.
• W646180767 hasConcept C64869954 @default.
• W646180767 hasConcept C71924100 @default.
• W646180767 hasConceptScore W646180767C121608353 @default.
• W646180767 hasConceptScore W646180767C126322002 @default.
• W646180767 hasConceptScore W646180767C127413603 @default.
• W646180767 hasConceptScore W646180767C153180895 @default.
• W646180767 hasConceptScore W646180767C154945302 @default.
• W646180767 hasConceptScore W646180767C194789388 @default.
• W646180767 hasConceptScore W646180767C199639397 @default.
• W646180767 hasConceptScore W646180767C21200559 @default.
• W646180767 hasConceptScore W646180767C24326235 @default.
• W646180767 hasConceptScore W646180767C2776759754 @default.
• W646180767 hasConceptScore W646180767C2778435480 @default.
• W646180767 hasConceptScore W646180767C2779549770 @default.
• W646180767 hasConceptScore W646180767C31972630 @default.
• W646180767 hasConceptScore W646180767C34736171 @default.
• W646180767 hasConceptScore W646180767C41008148 @default.
• W646180767 hasConceptScore W646180767C526805850 @default.
• W646180767 hasConceptScore W646180767C64869954 @default.
• W646180767 hasConceptScore W646180767C71924100 @default.
• W646180767 hasLocation W6461807671 @default.
• W646180767 hasOpenAccess W646180767 @default.
• W646180767 hasPrimaryLocation W6461807671 @default.
• W646180767 hasRelatedWork W1820784627 @default.
• W646180767 hasRelatedWork W1965415664 @default.
• W646180767 hasRelatedWork W2024538136 @default.
• W646180767 hasRelatedWork W2031968570 @default.
• W646180767 hasRelatedWork W2062322990 @default.
• W646180767 hasRelatedWork W2091323138 @default.
• W646180767 hasRelatedWork W2093533244 @default.
• W646180767 hasRelatedWork W2106775864 @default.
• W646180767 hasRelatedWork W2135917749 @default.
• W646180767 hasRelatedWork W2136930773 @default.
• W646180767 hasRelatedWork W2145255847 @default.
• W646180767 hasRelatedWork W2160026253 @default.
• W646180767 hasRelatedWork W2171271150 @default.
• W646180767 hasRelatedWork W2185240651 @default.
• W646180767 hasRelatedWork W2294023068 @default.
• W646180767 hasRelatedWork W2311781576 @default.
• W646180767 hasRelatedWork W2476749665 @default.
• W646180767 hasRelatedWork W2577949811 @default.
• W646180767 hasRelatedWork W2810111483 @default.
• W646180767 hasRelatedWork W52729812 @default.
• W646180767 isParatext "false" @default.
• W646180767 isRetracted "false" @default.
• W646180767 magId "646180767" @default.
• W646180767 workType "article" @default.