Citation of this article
Corresponding Author of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (4587)
All Articles published online
|
Aug 21, 2012 (publication date) through Jul 7, 2025
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Park SC, Chun HJ, Kim ES, Keum B, Seo YS, Kim YS, Jeen YT, Lee HS, Um SH, Kim CD, Ryu HS. Sensitivity of the suspected blood indicator: An experimental study. World J Gastroenterol 2012; 18(31): 4169-4174 [PMID: 22919250 DOI: 10.3748/wjg.v18.i31.4169] |
|---|---|
| URL: | https://www.wjgnet.com/1007-9327/full/v18/i31/4169.htm |
| Number | Citing Articles |
| 1 |
Isabel N. Figueiredo, Sunil Kumar, Carlos Leal, Pedro N. Figueiredo. Computer-assisted bleeding detection in wireless capsule endoscopy images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2013; 1(4): 198 doi: 10.1080/21681163.2013.796164
|
| 2 |
Farah Deeba, Monzurul Islam, Francis M. Bui, Khan A. Wahid. Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection. Biomedical Signal Processing and Control 2018; 40: 415 doi: 10.1016/j.bspc.2017.10.011
|
| 3 |
Ashok Vajravelu, K.S. Tamil Selvan, Muhammad Mahadi Bin Abdul Jamil, Anitha Jude, Isabel de la Torre Diez. Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video. Journal of Intelligent & Fuzzy Systems 2023; 44(1): 353 doi: 10.3233/JIFS-213099
|
| 4 |
Tonmoy Ghosh, Jacob Chakareski. Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging. Journal of Digital Imaging 2021; 34(2): 404 doi: 10.1007/s10278-021-00428-3
|
| 5 |
Blair S. Lewis, Martin Keuchel. Video Capsule Endoscopy. 2014; : 31 doi: 10.1007/978-3-662-44062-9_5
|
| 6 |
Sabina Beg, Tim Card, Reena Sidhu, Ewa Wronska, Krish Ragunath, Hey-Long Ching, Anastasios Koulaouzidis, Diana Yung, Simon Panter, Mark Mcalindon, Matthew Johnson, Arun Kurup, Anthony Shonde, Miliedis San-Juan Acosta, Stefano Sansone, Ebby Simmon, Victoria Thurston, Ailish Healy, Stefania Chetcuti Zammit, John Schembri, Michelle S Lau, Ching Lam, Mohammed Nizamuddin, Andrew Baxter, Jay Patel, Tom Archer, Phillip Oppong, Frank Phillips, Tara Dorn, Waleed Fateen, Jonathan White, Shivkumar Budihal, Huey Tan, Rajini Tiwari. The impact of reader fatigue on the accuracy of capsule endoscopy interpretation. Digestive and Liver Disease 2021; 53(8): 1028 doi: 10.1016/j.dld.2021.04.024
|
| 7 |
Tonmoy Ghosh, Linfeng Li, Jacob Chakareski. Effective Deep Learning for Semantic Segmentation Based Bleeding Zone Detection in Capsule Endoscopy Images. 2018 25th IEEE International Conference on Image Processing (ICIP) 2018; : 3034 doi: 10.1109/ICIP.2018.8451300
|
| 8 |
Felice Schnoll-Sussman, Fouad A. Otaki. Endoscopy in Small Bowel Disorders. 2015; : 237 doi: 10.1007/978-3-319-14415-3_17
|
| 9 |
Amit Kumar Kundu, Shaikh Anowarul Fattah, Mamshad Nayeem Rizve. An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space. Journal of Healthcare Engineering 2018; 2018: 1 doi: 10.1155/2018/9423062
|
| 10 |
Amit Kumar Kundu, Shaikh Anowarul Fattah, Khan A. Wahid. Least Square Saliency Transformation of Capsule Endoscopy Images for PDF Model Based Multiple Gastrointestinal Disease Classification. IEEE Access 2020; 8: 58509 doi: 10.1109/ACCESS.2020.2982870
|
| 11 |
Andrea Oliver Tal, Natalie Filmann, Konstantin Makhlin, Johannes Hausmann, Mireen Friedrich-Rust, Eva Herrmann, Stefan Zeuzem, Jörg G Albert. The capsule endoscopy “suspected blood indicator” (SBI) for detection of active small bowel bleeding: no active bleeding in case of negative SBI. Scandinavian Journal of Gastroenterology 2014; 49(9): 1131 doi: 10.3109/00365521.2014.923503
|
| 12 |
M. Keuchel, N. Kurniawan, P. Baltes, D. Bandorski, A. Koulaouzidis. Quantitative measurements in capsule endoscopy. Computers in Biology and Medicine 2015; 65: 333 doi: 10.1016/j.compbiomed.2015.07.016
|
| 13 |
Adam Novozámský, Jan Flusser, Ilja Tachecí, Lukáš Sulík, Jan Bureš, Ondrej Krejcar. Automatic blood detection in capsule endoscopy video. Journal of Biomedical Optics 2016; 21(12): 126007 doi: 10.1117/1.JBO.21.12.126007
|
| 14 |
|
| 15 |
Mehrdokht Bordbar, Mohammad Sadegh Helfroush, Habibollah Danyali, Fardad Ejtehadi. Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model. BioMedical Engineering OnLine 2023; 22(1) doi: 10.1186/s12938-023-01186-9
|
| 16 |
Paulo Coelho, Ana Pereira, Argentina Leite, Marta Salgado, António Cunha. Image Analysis and Recognition. Lecture Notes in Computer Science 2018; 10882: 553 doi: 10.1007/978-3-319-93000-8_63
|
| 17 |
Isabel N. Figueiredo, Carlos Leal, Luis Pinto, Pedro N. Figueiredo, Richard Tsai. Dissimilarity Measure of Consecutive Frames in Wireless Capsule Endoscopy Videos: A Way of Searching for Abnormalities. 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) 2017; : 702 doi: 10.1109/CBMS.2017.18
|
| 18 |
Sizhe Li, Jiawei Zhang, Chunyang Ruan, Yanchun Zhang. Multi-Stage Attention-Unet for Wireless Capsule Endoscopy Image Bleeding Area Segmentation. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2019; : 818 doi: 10.1109/BIBM47256.2019.8983292
|
| 19 |
Sabina Beg, Adolfo Parra-Blanco, Krish Ragunath. Optimising the performance and interpretation of small bowel capsule endoscopy. Frontline Gastroenterology 2018; 9(4): 300 doi: 10.1136/flgastro-2017-100878
|
| 20 |
Amit Kumar Kundu, Shaikh Anowarul Fattah, Khan A. Wahid. Multiple Linear Discriminant Models for Extracting Salient Characteristic Patterns in Capsule Endoscopy Images for Multi-Disease Detection. IEEE Journal of Translational Engineering in Health and Medicine 2020; 8: 1 doi: 10.1109/JTEHM.2020.2964666
|
| 21 |
Sunil Kumar, Isabel N. Figueiredo, Carlos Graca, Gabriel Falcao. Developments in Medical Image Processing and Computational Vision. Lecture Notes in Computational Vision and Biomechanics 2015; 19: 55 doi: 10.1007/978-3-319-13407-9_4
|
| 22 |
Shipra Suman, Fawnizu Azmadi B. hussin, Aamir Saeed Malik, Konstantin Pogorelov, Michael Riegler, Shaiw Hooi Ho, Ida Hilmi, Khean Lee Goh. Detection and Classification of Bleeding Region in WCE Images using Color Feature. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing 2017; : 1 doi: 10.1145/3095713.3095731
|
| 23 |
Konstantin Pogorelov, Shipra Suman, Fawnizu Azmadi Hussin, Aamir Saeed Malik, Olga Ostroukhova, Michael Riegler, Pål Halvorsen, Shiaw Hooi Ho, Khean‐Lee Goh. Bleeding detection in wireless capsule endoscopy videos — Color versus texture features. Journal of Applied Clinical Medical Physics 2019; 20(8): 141 doi: 10.1002/acm2.12662
|
| 24 |
Amit Kumar Kundu, Shaikh Anowarul Fattah. Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection. Computers in Biology and Medicine 2019; 115: 103478 doi: 10.1016/j.compbiomed.2019.103478
|
| 25 |
Tomonori Aoki, Atsuo Yamada, Yusuke Kato, Hiroaki Saito, Akiyoshi Tsuboi, Ayako Nakada, Ryota Niikura, Mitsuhiro Fujishiro, Shiro Oka, Soichiro Ishihara, Tomoki Matsuda, Masato Nakahori, Shinji Tanaka, Kazuhiko Koike, Tomohiro Tada. Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network. Journal of Gastroenterology and Hepatology 2020; 35(7): 1196 doi: 10.1111/jgh.14941
|
| 26 |
Dimitris K. Iakovidis, Anastasios Koulaouzidis. Software for enhanced video capsule endoscopy: challenges for essential progress. Nature Reviews Gastroenterology & Hepatology 2015; 12(3): 172 doi: 10.1038/nrgastro.2015.13
|
| 27 |
Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, Em Poh Ping, Tonmoy Ghosh. Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review. Sensors 2023; 23(16): 7170 doi: 10.3390/s23167170
|
| 28 |
Michael Julius Farnbacher, Murat Keles, Michael Meier, Alexander Hagel, Thomas Schneider. Capsule endoscopy in a network cooperation: assessment of the experience in 822 patients. Scandinavian Journal of Gastroenterology 2013; 48(9): 1088 doi: 10.3109/00365521.2013.812678
|
| 29 |
Diana E. Yung, Catherine Sykes, Anastasios Koulaouzidis. The validity of suspected blood indicator software in capsule endoscopy: a systematic review and meta-analysis. Expert Review of Gastroenterology & Hepatology 2017; 11(1): 43 doi: 10.1080/17474124.2017.1257384
|
| 30 |
Andrea Caroppo, Alessandro Leone, Pietro Siciliano. Deep transfer learning approaches for bleeding detection in endoscopy images. Computerized Medical Imaging and Graphics 2021; 88: 101852 doi: 10.1016/j.compmedimag.2020.101852
|
| 31 |
Pedro BOAL CARVALHO, Joana MAGALHÃES, Francisca DIAS DE CASTRO, Sara MONTEIRO, Bruno ROSA, Maria João MOREIRA, José COTTER. Suspected blood indicator in capsule endoscopy: a valuable tool for gastrointestinal bleeding diagnosis. Arquivos de Gastroenterologia 2017; 54(1): 16 doi: 10.1590/s0004-2803.2017v54n1-03
|
| 32 |
Andrea Caroppo, Pietro Siciliano, Alessandro Leone. An expert system for lesion detection in wireless capsule endoscopy using transfer learning. Procedia Computer Science 2023; 219: 1136 doi: 10.1016/j.procs.2023.01.394
|