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For: Sánchez-Peralta LF, Bote-Curiel L, Picón A, Sánchez-Margallo FM, Pagador JB. Deep learning to find colorectal polyps in colonoscopy: A systematic literature review. Artif Intell Med 2020;108:101923. [PMID: 32972656 DOI: 10.1016/j.artmed.2020.101923] [Cited by in Crossref: 15] [Cited by in F6Publishing: 8] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Masud M, Sikder N, Nahid AA, Bairagi AK, AlZain MA. A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework. Sensors (Basel) 2021;21:748. [PMID: 33499364 DOI: 10.3390/s21030748] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
2 Su Y, Tian X, Gao R, Guo W, Chen C, Chen C, Jia D, Li H, Lv X. Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis. Comput Biol Med 2022;145:105409. [PMID: 35339846 DOI: 10.1016/j.compbiomed.2022.105409] [Reference Citation Analysis]
3 Song H, Ruan C, Xu Y, Xu T, Fan R, Jiang T, Cao M, Song J. Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model. Exp Biol Med (Maywood) 2021;:15353702211065010. [PMID: 34904882 DOI: 10.1177/15353702211065010] [Reference Citation Analysis]
4 Hsieh YH, Tang CP, Tseng CW, Lin TL, Leung FW. Computer-Aided Detection False Positives in Colonoscopy. Diagnostics (Basel) 2021;11:1113. [PMID: 34207226 DOI: 10.3390/diagnostics11061113] [Reference Citation Analysis]
5 Guinebert S, Petit E, Bousson V, Bodard S, Amoretti N, Kastler B. Automatic semantic segmentation and detection of vertebras and intervertebral discs by neural networks. Computer Methods and Programs in Biomedicine Update 2022. [DOI: 10.1016/j.cmpbup.2022.100055] [Reference Citation Analysis]
6 Younas F, Usman M, Yan WQ. A deep ensemble learning method for colorectal polyp classification with optimized network parameters. Appl Intell. [DOI: 10.1007/s10489-022-03689-9] [Reference Citation Analysis]
7 Hsiao YJ, Wen YC, Lai WY, Lin YY, Yang YP, Chien Y, Yarmishyn AA, Hwang DK, Lin TC, Chang YC, Lin TY, Chang KJ, Chiou SH, Jheng YC. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer. World J Gastroenterol 2021; 27(22): 2979-2993 [PMID: 34168402 DOI: 10.3748/wjg.v27.i22.2979] [Reference Citation Analysis]
8 Ortega-Morán JF, Azpeitia Á, Sánchez-Peralta LF, Bote-Curiel L, Pagador B, Cabezón V, Saratxaga CL, Sánchez-Margallo FM. Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis. BMC Cancer 2021;21:467. [PMID: 33902503 DOI: 10.1186/s12885-021-08190-z] [Reference Citation Analysis]
9 Guo C, Kang X, Cao F, Yang J, Xu Y, Liu X, Li Y, Ma X, Fu X. Network Pharmacology and Molecular Docking on the Molecular Mechanism of Luo-hua-zi-zhu (LHZZ) Granule in the Prevention and Treatment of Bowel Precancerous Lesions. Front Pharmacol 2021;12:629021. [PMID: 33692692 DOI: 10.3389/fphar.2021.629021] [Reference Citation Analysis]
10 Picon A, Terradillos E, Sánchez-Peralta LF, Mattana S, Cicchi R, Blover BJ, Arbide N, Velasco J, Etzezarraga MC, Pavone FS, Garrote E, Saratxaga CL. Novel Pixelwise Co-Registered Hematoxylin-Eosin and Multiphoton Microscopy Image Dataset for Human Colon Lesion Diagnosis. J Pathol Inform 2022;13:100012. [PMID: 35223136 DOI: 10.1016/j.jpi.2022.100012] [Reference Citation Analysis]
11 Durak S, Bayram B, Bakırman T, Erkut M, Doğan M, Gürtürk M, Akpınar B. Deep neural network approaches for detecting gastric polyps in endoscopic images. Med Biol Eng Comput 2021;59:1563-74. [PMID: 34259974 DOI: 10.1007/s11517-021-02398-8] [Reference Citation Analysis]
12 Terradillos E, Saratxaga CL, Mattana S, Cicchi R, Pavone FS, Andraka N, Glover BJ, Arbide N, Velasco J, Etxezarraga MC, Picon A. Analysis on the Characterization of Multiphoton Microscopy Images for Malignant Neoplastic Colon Lesion Detection under Deep Learning Methods. J Pathol Inform 2021;12:27. [PMID: 34447607 DOI: 10.4103/jpi.jpi_113_20] [Reference Citation Analysis]
13 Suzuki H, Yoshitaka T, Yoshio T, Tada T. Artificial intelligence for cancer detection of the upper gastrointestinal tract. Dig Endosc 2021;33:254-62. [PMID: 33222330 DOI: 10.1111/den.13897] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Liew WS, Tang TB, Lin CH, Lu CK. Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches. Comput Methods Programs Biomed 2021;206:106114. [PMID: 33984661 DOI: 10.1016/j.cmpb.2021.106114] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]