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For: Charfi S, Ansari ME. Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images. Multimed Tools Appl 2018;77:4047-64. [DOI: 10.1007/s11042-017-4555-7] [Cited by in Crossref: 29] [Cited by in F6Publishing: 8] [Article Influence: 5.8] [Reference Citation Analysis]
Number Citing Articles
1 Guo X, Zhang L, Hao Y, Zhang L, Liu Z, Liu J. Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism. Rev Sci Instrum 2021;92:094102. [PMID: 34598534 DOI: 10.1063/5.0054161] [Reference Citation Analysis]
2 He D, Li S, He X, Chang L, Zhang N, Jiang Q. Intestinal Polyp Recognition Based on Salient Codebook Locality-Constrained Linear Coding with Annular Spatial Pyramid Matching. J Med Biol Eng 2020;40:473-83. [DOI: 10.1007/s40846-020-00532-9] [Reference Citation Analysis]
3 [DOI: 10.1109/wincom.2017.8238211] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Yang J, Chang L, Li S, He X, Zhu T. WCE polyp detection based on novel feature descriptor with normalized variance locality-constrained linear coding. Int J Comput Assist Radiol Surg. 2020;15:1291-1302. [PMID: 32447521 DOI: 10.1007/s11548-020-02190-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Majid A, Khan MA, Yasmin M, Rehman A, Yousafzai A, Tariq U. Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection. Microsc Res Tech. 2020;83:562-576. [PMID: 31984630 DOI: 10.1002/jemt.23447] [Cited by in Crossref: 40] [Cited by in F6Publishing: 16] [Article Influence: 20.0] [Reference Citation Analysis]
6 Ribeiro MG, Neves LA, do Nascimento MZ, Roberto GF, Martins AS, Azevedo Tosta TA. Classification of colorectal cancer based on the association of multidimensional and multiresolution features. Expert Systems with Applications 2019;120:262-78. [DOI: 10.1016/j.eswa.2018.11.034] [Cited by in Crossref: 18] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
7 Souaidi M, Ansari ME. A New Automated Polyp Detection Network MP-FSSD in WCE and Colonoscopy Images Based Fusion Single Shot Multibox Detector and Transfer Learning. IEEE Access 2022;10:47124-40. [DOI: 10.1109/access.2022.3171238] [Reference Citation Analysis]
8 Lahmyed R, El Ansari M, Ellahyani A. A new thermal infrared and visible spectrum images-based pedestrian detection system. Multimed Tools Appl 2019;78:15861-85. [DOI: 10.1007/s11042-018-6974-5] [Cited by in Crossref: 15] [Cited by in F6Publishing: 5] [Article Influence: 3.8] [Reference Citation Analysis]
9 Jani KK, Srivastava R. A Survey on Medical Image Analysis in Capsule Endoscopy. Curr Med Imaging Rev 2019;15:622-36. [PMID: 32008510 DOI: 10.2174/1573405614666181102152434] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
10 Li S, Cao J, Yao J, Zhu J, He X, Jiang Q. Adaptive aggregation with self‐attention network for gastrointestinal image classification. IET Image Processing. [DOI: 10.1049/ipr2.12495] [Reference Citation Analysis]
11 Shanmuga Sundaram P, Santhiyakumari N. An Enhancement of Computer Aided Approach for Colon Cancer Detection in WCE Images Using ROI Based Color Histogram and SVM2. J Med Syst 2019;43. [DOI: 10.1007/s10916-018-1153-9] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 2.3] [Reference Citation Analysis]
12 Souaidi M, Abdelouahed AA, El Ansari M. Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images. Multimed Tools Appl 2019;78:13091-108. [DOI: 10.1007/s11042-018-6086-2] [Cited by in Crossref: 18] [Cited by in F6Publishing: 3] [Article Influence: 4.5] [Reference Citation Analysis]
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14 Li S, Lu C, Kong X, Zhu J, He X, Zhang N. MSFF-Net: Multi-Scale Feature Fusion Network for Gastrointestinal Vessel Segmentation. J Med Biol Eng . [DOI: 10.1007/s40846-022-00704-9] [Reference Citation Analysis]
15 Charfi S, El Ansari M, Balasingham I. Computer‐aided diagnosis system for ulcer detection in wireless capsule endoscopy images. IET Image Processing 2019;13:1023-30. [DOI: 10.1049/iet-ipr.2018.6232] [Cited by in Crossref: 10] [Article Influence: 3.3] [Reference Citation Analysis]
16 [DOI: 10.1109/atsip.2017.8075599] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 1.4] [Reference Citation Analysis]
17 Muhammad K, Khan S, Kumar N, Del Ser J, Mirjalili S. Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges. Future Generation Computer Systems 2020;113:266-80. [DOI: 10.1016/j.future.2020.06.048] [Cited by in Crossref: 16] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
18 Khan MA, Rashid M, Sharif M, Javed K, Akram T. Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection. Multimed Tools Appl 2019;78:27743-70. [DOI: 10.1007/s11042-019-07875-9] [Cited by in Crossref: 17] [Cited by in F6Publishing: 3] [Article Influence: 5.7] [Reference Citation Analysis]
19 Ellahyani A, Jaafari IE, Charfi S, Ansari ME. Fine-tuned deep neural networks for polyp detection in colonoscopy images. Pers Ubiquit Comput. [DOI: 10.1007/s00779-021-01660-y] [Reference Citation Analysis]
20 Ellahyani A, El Ansari M, Lahmyed R, Trémeau A. Traffic sign recognition method for intelligent vehicles. J Opt Soc Am A Opt Image Sci Vis 2018;35:1907-14. [PMID: 30461850 DOI: 10.1364/JOSAA.35.001907] [Cited by in Crossref: 5] [Article Influence: 1.3] [Reference Citation Analysis]
21 Sharif M, Attique Khan M, Rashid M, Yasmin M, Afza F, Tanik UJ. Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images. Journal of Experimental & Theoretical Artificial Intelligence 2021;33:577-99. [DOI: 10.1080/0952813x.2019.1572657] [Cited by in Crossref: 31] [Article Influence: 10.3] [Reference Citation Analysis]