Relevant bibliographies by topics / Computed Tomographic Colonography

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Computed Tomographic Colonography'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Computed Tomographic Colonography"

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Ramos Jr., Odery, César Luiz Boguszewski, Sandra Teixeira, Ricardo De Bem, Benito Parolim, and João Carlos Prolla. "Performance of computed tomographic colonography for the screening of colorectal polyp in acromegalic patients: a prospective study." Arquivos de Gastroenterologia 46, no. 2 (June 2009): 90–96. http://dx.doi.org/10.1590/s0004-28032009000200003.

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CONTEXT: Acromegalic patients have better chances to develop colorectal polyps and cancer and, considered a high-risk group, need to undergo frequent screening examinations. Moreover, in acromegalia, the increased bowel length and the intestinal loop complexity can lead to higher levels of technical difficulties and increase the risks of complications at conventional colonoscopy. Computed tomographic colonography, also known as virtual colonoscopy, is an innovative and secure technology which is revolutionizing the diagnosis of colon and rectum neoplasias. OBJECTIVE: To analyze computed tomographic colonography performance for the screening of colorectal polyps in acromegalic patients. METHODS: A prospective study of 21 asymptomatic acromegalic patients, 12 male and 9 female, average age 49, who underwent computed tomographic colonography and conventional colonoscopy. Computed tomographic colonography was performed with a GE Helical Multislice Computed Tomography Apparatus. Conventional colonoscopy was performed in the same day, without previous knowledge of the computed tomographic colonography diagnostics. The study evaluated the capacity of computed tomographic colonography to detect patients with colorectal polyps and identify each colorectal lesion described by the colonoscopy. RESULTS: In two patients (2/21), conventional colonoscopy was incomplete. However, in all patients computed tomographic colonography was complete. In Phase I ("per patient"), computed tomographic colonography diagnosed eight of the nine patients with colorectal polyps and showed 88% sensitivity, 75% specificity and 81% accuracy. In Phase II ("per polyp"), out of the 21 acromegalic patients included in this study, 12 presented normal findings at conventional colonoscopy. A total of 19 polyps were identified in 9 patients. Ten of the 19 polyps were smaller than 10 mm, and 9 were equal to or larger than 10 mm. Computed tomographic colonography identified 7 of the 9 polyps >10 mm described by conventional colonoscopy and only 6 of the 10 small polyps identified at conventional colonoscopy were detected by computed tomographic colonography. The histological analysis of resected lesions revealed 12 tubular adenomas, 6 hyperplastic polyps and 1 colonic tubulo-villous adenoma with an adenocarcinoma focus. CONCLUSION: The authors present the first reports of computed tomographic colonography in the screening of colorectal polyps in acromegalic patients. In this study, computed tomographic colonography was performed without complications and a complete and safe colorectal evaluation was possible in all acromegalic patients. Moreover, computed tomographic colonography presented good sensitivity, specificity and accuracy for the identification of acromegalic patients with polyps of any size and better results in the diagnosis of large polyps, when they were compared to small polypoid lesions.
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Aslam, Rizwan, and Judy Yee. "Computed tomographic colonography." Expert Review of Gastroenterology & Hepatology 2, no. 3 (June 2008): 371–84. http://dx.doi.org/10.1586/17474124.2.3.371.

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Rockey, Don C. "Computed tomographic colonography." Current Opinion in Gastroenterology 25, no. 1 (January 2009): 55–58. http://dx.doi.org/10.1097/mog.0b013e32831dde5d.

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Bielen, Didier, Ragna Vanslembrouck, Frederik De Keyzer, Hilde Vandenhout, Lutz Guendel, Eric Van Cutsem, and Guy Marchal. "Computed Tomographic Colonography." Journal of Computer Assisted Tomography 32, no. 4 (July 2008): 504–10. http://dx.doi.org/10.1097/rct.0b013e318136e2ba.

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Philip, Ancil K., Meghan G. Lubner, and Bruce Harms. "Computed Tomographic Colonography." Surgical Clinics of North America 91, no. 1 (February 2011): 127–39. http://dx.doi.org/10.1016/j.suc.2010.10.010.

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Mulhall, Brian P., Ganesh R. Veerappan, and Jeffrey L. Jackson. "Meta-Analysis: Computed Tomographic Colonography." Annals of Internal Medicine 142, no. 8 (April 19, 2005): 635. http://dx.doi.org/10.7326/0003-4819-142-8-200504190-00013.

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Rockey, Don C. "Colon Imaging: Computed Tomographic Colonography." Clinical Gastroenterology and Hepatology 3, no. 7 (July 2005): S37—S41. http://dx.doi.org/10.1016/s1542-3565(05)00260-0.

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Lefere, Philippe, Abraham H. Dachman, and Stefaan Gryspeerdt. "Computed tomographic colonography: clinical value." Abdominal Imaging 32, no. 5 (May 17, 2007): 541–51. http://dx.doi.org/10.1007/s00261-007-9243-z.

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Cotton, Peter B., Valerie L. Durkalski, Benoit C. Pineau, Yuko Y. Palesch, Patrick D. Mauldin, Brenda Hoffman, David J. Vining, et al. "Computed Tomographic Colonography (Virtual Colonoscopy)." JAMA 291, no. 14 (April 14, 2004): 1713. http://dx.doi.org/10.1001/jama.291.14.1713.

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Iussich, Gabriella, Loredana Correale, Carlo Senore, Cesare Hassan, Nereo Segnan, Delia Campanella, Alberto Bert, Giovanni Galatola, Cristiana Laudi, and Daniele Regge. "Computer-Aided Detection for Computed Tomographic Colonography Screening." Investigative Radiology 49, no. 3 (March 2014): 173–82. http://dx.doi.org/10.1097/rli.0000000000000009.

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Dissertations / Theses on the topic "Computed Tomographic Colonography"

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Boone, D. J. "Facilitating colorectal cancer diagnosis with computed tomographic colonography." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1413011/.

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Computed tomographic colonography (CTC) is a diagnostic technique involving helical volume acquisition of the cleansed, distended colorectum to detect colorectal cancer or potentially premalignant polyps. This Thesis summarises the evidence base, identifies areas in need of further research, quantifies sources of bias and presents novel techniques to facilitate colorectal cancer diagnosis using CTC. CTC literature is reviewed to justify the rationale for current implementation and to identify fruitful areas for research. This confirms excellent diagnostic performance can be attained providing CTC is interpreted by trained, experienced observers employing state-of-the-art implementation. The technique is superior to barium enema and consequently, it has been embraced by radiologists, clinicians and health policy-makers. Factors influencing generalisability of CTC research are investigated, firstly with a survey of European educational workshop participants which revealed limited CTC experience and training, followed by a systematic review exploring bias in research studies of diagnostic test accuracy which established that studies focussing on these aspects were lacking. Experiments to address these sources of bias are presented, using novel methodology: Conjoint analysis is used to ascertain patients‘ and clinicians’ attitudes to false-positive screening diagnoses, showing that both groups overwhelmingly value sensitivity over specificity. The results inform a weighted statistical analysis for CAD which is applied to the results of two previous studies showing the incremental benefit is significantly higher for novices than experienced readers. We have employed eye-tracking technology to establish the visual search patterns of observers reading CTC, demonstrated feasibility and developed metrics for analysis. We also describe development and validation of computer software to register prone and supine endoluminal surface locations demonstrating accurate matching of corresponding points when applied to a phantom and a generalisable, publically available, CTC database. Finally, areas in need of future development are suggested.
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Fisichella, Valeria A. "CT colonography : implementation and technical developments /." Göteborg : Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 2009. http://hdl.handle.net/2077/20454.

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Ho, Yuen-chi, and 何婉姿. "Potential utility of colorectal cancer screening with computed tomographic colonography in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206940.

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Background Colorectal cancer is becoming the commonest cancer in Hong Kong in 2011. Colorectal cancer screening is becoming a hot topic of discussion after the proposal of a local pilot screening program of colorectal cancer in the Policy Address 2014. Colorectal screening is traditionally performed by faecal occult blood test and optical colonoscopy. Computed tomographic colonography is a new imaging technology, with high sensitivity and specificity for clinically significant colonic lesions and polyps. It is therefore emerging as a new method for the colorectal cancer screening. Method This project aims to systemically review the literature, try to explore the potential utility and cost effectiveness of using computed tomographic colonography as one of the screening modality for asymptomatic patients aged 50 years or older. Results and Conclusion The results of the review are presented and conclusion is made. The limitation of the systematic review and its implications of local policy making are also discussed.
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Plumb, A. A. O. "An evaluation of computed tomographic colonography in the English national bowel cancer screening programme." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1474393/.

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Colorectal cancer (CRC) is a common, important disease with a mortality approaching 50%. Outcomes can be improved by screening because early CRC has an excellent prognosis and there is a long, easily treatable premalignant phase. England has a national bowel cancer screening programme (BCSP) based on faecal occult blood testing (FOBt), followed by colonoscopy for those testing positive. However, not all subjects can undergo colonoscopy due to frailty or technical failure. The preferred alternative is computed tomographic colonography (CTC), an X-ray scan of the cleansed, gas-distended colon. Little is known regarding performance characteristics and other attributes of CTC in the English BCSP, the subject of this thesis. The thesis is structured as follows: Section A provides an overview of CRC screening and the BCSP, followed by a systematic review and meta-analysis of the diagnostic performance of CTC for FOBt-positive subjects. Section B describes current usage of CTC in the BCSP via a national survey of current practice and an analysis of neoplasia detection rates in comparison to colonoscopy, including sub-analyses of the effects of (a) variable FOBt positivity and (b) terminal digit preference bias. Section C evaluates patient experience via comparative analysis of national questionnaires for CTC and colonoscopy. Reasons for non-attendance for colonic testing (despite a positive FOBt result) are investigated via an interview study, and a discrete choice experiment tests the influence of extracolonic abnormalities on the acceptability of CTC (for both patients and healthcare professionals). Section D evaluates methods to improve diagnostic accuracy, using eye-tracking to investigate why radiologists miss polyps, and the effect of increased viewing speeds. The different spectrum of disease encountered in a screening population is explored via comparison of the CTC appearances of screen-detected and symptomatic colorectal cancers. Section E concludes and summarises the thesis, and makes recommendations for future research.
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Virmani, Sunny. "A Comparative Study of Polyp Measurement Methods for Computed Tomography Colonography." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1248054090.

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Svanberg, Elena. "Patienters upplevelser av datortomografi colon : en litteraturstudie." Thesis, Örebro universitet, Institutionen för hälsovetenskap och medicin, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-28814.

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Bakgrund: Personer som insjuknar i kolorektalcancer är ofta mellan 50-70 år gamla. Colon kan undersökas med bariumundersökning, koloskopi eller datortomografi colon (DT colon). Nyttan med DT colon är att tarmen liksom strukturer utanför tarmens vägg kan avbildas samt att cancern kan stadieindelas. Syfte: Att undersöka patienters upplevelser av DT colon hos patienter som uppvisar symtom på kolorektalcancer. Dessa upplevelser kan vara fysiska och psykiska. Metod: Sökningar utfördes i databasen Pubmed där sökord kombinerades. Efter granskning av abstrakt och studier i sin helhet inkluderades 11 studier som ligger till grund för resultatet. Resultat: Patienter upplevde lite smärta i fem av sju studier. Procentuellt skattades smärta som liten till obefintlig (82-96 %) och som stark (0-3 %) i tre studier. Upplevelse av obehag varierade mellan lite och lite mer än måttligt obehag i sju studier. I en studie skattade 81 % patienter DT colon som inte till lite obehaglig. Obehag under utvidgning av tarmen upplevde majoriteten som inte till lite obehagligt och mindre andel (30,7 % och 17 %) som ganska till mycket obehagligt i två studier. I en kvalitativ studie var utvidgning den mest jobbiga delen av undersökningen. Pinsamhet skattades som låg i två studier och i en kvalitativ studie kände sig patienterna generade. Oro mättes i sju studier där majoriteten var lite eller inte oroliga. Ingen eller lite rädsla upplevdes av patienter i tre studier. I en kvalitativ studie uttryckte några patienter att de varit rädda under DT colon varav en var rädd för att inte kunna hålla andan. Slutsats: Många upplevde lite smärta under DT colon men det fanns de som upplevde större smärta. Upplevelse av obehag varierade i studierna men ett fåtal upplevde mycket obehag. Vissa upplevde mycket och extremt obehag under utvidgning av tarmen. Patienter var lite generade men 1-3 % kände större pinsamhet. Patienterna var lite oroliga. Då få studier tog upp rädsla är det svårt att dra en slutsats.
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Ong, Ju Lynn. "Computer aided detection of polyps in CT colonography." Phd thesis, 2010. http://hdl.handle.net/1885/149805.

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Books on the topic "Computed Tomographic Colonography"

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H, Kim David, ed. CT colonography: Principles and practice of virtual colonoscopy. Philadelphia: Elsevier/Saunders, 2010.

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1961-, Yoshida Hiroyuki, Cai Wenli, and International Conference on Medical Image Computing and Computer-Assisted Intervention (13th : 2010 : Beijing, China), eds. Virtual colonoscopy and abdominal imaging: Computational challenges and clinical opportunities : second international workshop held in conjunction with MICCAI 2010, Beijing, China, September 20, 2010, revised selected papers. Heidelberg: Springer, 2011.

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M, Galdino Gregory, ed. Virtual colonoscopy. Philadelphia: Lippincott Williams & Wilkins, 2008.

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Colorectal cancer screening. New York: Humana Press, 2011.

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Anderson, Joseph C., and Charles J. Kahi. Colorectal cancer screening. New York: Humana Press, 2011.

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United States. Congress. House. A bill to amend title XVIII of the Social Security Act to include screening computed tomography colonography as a colorectal screening test for purposes of coverage under the Medicare program, and for other purposes. Washington, D.C: U.S. G.P.O., 2007.

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Mang, Thomas, and Wolfgang Schima. CT Colonography: A Guide for Clinical Practice. Thieme Medical Publishers, Incorporated, 2011.

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Cash, Brooks D. Colorectal Cancer Screening and Computerized Tomographic Colonography: A Comprehensive Overview. Springer, 2012.

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Cash, Brooks D. Colorectal Cancer Screening and Computerized Tomographic Colonography: A Comprehensive Overview. Springer London, Limited, 2012.

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Cash, Brooks D. Colorectal Cancer Screening and Computerized Tomographic Colonography: A Comprehensive Overview. Springer, 2012.

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Book chapters on the topic "Computed Tomographic Colonography"

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Suzuki, Kenji, and Abraham H. Dachman. "Computer-Aided Diagnosis in Computed Tomographic Colonography." In Atlas of Virtual Colonoscopy, 163–82. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5852-5_12.

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Chang, Kevin J., and Jorge A. Soto. "Computed Tomographic Colonography: Image Display Methods." In Atlas of Virtual Colonoscopy, 111–32. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5852-5_8.

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Dachman, Abraham H. "Scheduling, Performing, and Reporting Computed Tomographic Colonography." In Atlas of Virtual Colonoscopy, 87–109. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5852-5_7.

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Wang, Shijun, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, and Ronald M. Summers. "Visual Phrase Learning and Its Application in Computed Tomographic Colonography." In Advanced Information Systems Engineering, 243–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40811-3_31.

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Wei, Zhuoshi, Jianhua Yao, Shijun Wang, and Ronald M. Summers. "Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images." In Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 98–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25719-3_14.

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Plumb, A. A., and S. Halligan. "Investigating Symptoms Suggestive of Colorectal Cancer: Computed Tomographic Colonography or Colonoscopy?" In Timely Diagnosis of Colorectal Cancer, 77–92. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65286-3_5.

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Zhan, Xiaoyu, Jianqiang Li, and Yan Pei. "A Computer-Aided Diagnostic System to Detect Polyp in Computed Tomographic Colonography Images." In Lecture Notes in Electrical Engineering, 1–9. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5959-4_1.

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Wang, Huafeng, Lihong Li, Hao Han, Yunhong Wang, Weifeng Lv, Xianfeng Gu, and Zhengrong Liang. "A Novel Colon Wall Flattening Model for Computed Tomographic Colonography: Method and Validation." In Lecture Notes in Computational Vision and Biomechanics, 1–14. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03590-1_1.

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Trauernicht, Christoph. "Principles of Radiation Dose in Computed Tomography and Computed Tomography Colonography." In CT Colonography for Radiographers, 41–49. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29379-0_5.

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Laghi, Andrea, Valeria Panebianco, Carlo Catalano, Riccardo Iannaccone, Filippo G. Assael, Sante Iori, and Roberto Passariello. "Multislice Computed Tomography Colonography: Technique Optimization." In Multislice CT: A Practical Guide, 216–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59450-2_22.

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Conference papers on the topic "Computed Tomographic Colonography"

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Wei, Zhuoshi, Jianhua Yao, Shijun Wang, Jiamin Liu, and Ronald M. Summers. "Computer-aided marginal artery detection on computed tomographic colonography." In SPIE Medical Imaging, edited by Bram van Ginneken and Carol L. Novak. SPIE, 2012. http://dx.doi.org/10.1117/12.911850.

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McKenna, Matthew T., Shijun Wang, Tan B. Nguyen, Joseph E. Burns, Nicholas Petrick, Berkman Sahiner, and Ronald M. Summers. "Computer vision approach to detect colonic polyps in computed tomographic colonography." In SPIE Medical Imaging, edited by Bram van Ginneken and Carol L. Novak. SPIE, 2012. http://dx.doi.org/10.1117/12.911657.

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Davis, Brynmor J., James A. Norris, Jerry Y. Bieszczad, Jorge A. Soto, and David B. Kynor. "Fully automated prone-supine coregistration in computed tomographic colonography." In SPIE Medical Imaging, edited by Benoit M. Dawant and David R. Haynor. SPIE, 2011. http://dx.doi.org/10.1117/12.878150.

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Wei, Zhuoshi, Jianhua Yao, Shijun Wang, and Ronald M. Summers. "Computer-aided teniae coli detection using height maps from computed tomographic colonography images." In SPIE Medical Imaging, edited by Ronald M. Summers and Bram van Ginneken. SPIE, 2011. http://dx.doi.org/10.1117/12.878257.

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Garry, John L., Judd E. Reed, and C. Daniel Johnson. "Performance of computed tomographic colonography improved by total quality management techniques." In Medical Imaging 2000, edited by Chin-Tu Chen and Anne V. Clough. SPIE, 2000. http://dx.doi.org/10.1117/12.383398.

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Reed, Judd E., and C. Daniel Johnson. "Virtual pathology: a new paradigm for interpretation of computed tomographic colonography." In Medical Imaging '98, edited by Yongmin Kim and Seong K. Mun. SPIE, 1998. http://dx.doi.org/10.1117/12.312519.

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Nappi, J. J., Se Hyung Kim, and H. Yoshida. "Volumetric detection of colorectal lesions for noncathartic dual-energy computed tomographic colonography." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346780.

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Chowdhury, A. S., J. Yao, R. L. VanUitert, M. G. Linguraru, and R. M. Summers. "Detection of anatomical landmarks in human colon from computed tomographic colonography images." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4760969.

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Xie, Yunshen, Jianqiang Li, and Yan Pei. "Multiple Instance Learning for Detection of Polyps in Computed Tomographic Colonography Images." In 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009352002360240.

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Wang, Shijun, Nicholas Petrick, Robert L. Van Uitert, Senthil Periaswamy, and Ronald M. Summers. "3D supine and prone colon registration for computed tomographic colonography scans based on graph matching." In SPIE Medical Imaging, edited by Ronald M. Summers and Bram van Ginneken. SPIE, 2011. http://dx.doi.org/10.1117/12.878227.

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