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For: 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: 13] [Cited by in F6Publishing: 8] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Tharwat M, Sakr NA, El-sappagh S, Soliman H, Kwak K, Elmogy M. Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques. Sensors 2022;22:9250. [DOI: 10.3390/s22239250] [Reference Citation Analysis]
2 Sharma P, Das D, Gautam A, Balabantaray BK. LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification. Int J Imaging Syst Tech 2022. [DOI: 10.1002/ima.22825] [Reference Citation Analysis]
3 Amiri Z, Hassanpour H, Beghdadi A. Combining Deep Features and Hand-crafted Features for Abnormality Detection in WCE Images.. [DOI: 10.21203/rs.3.rs-2052979/v1] [Reference Citation Analysis]
4 Sharma P, Balabantaray BK, Bora K, Mallik S, Kasugai K, Zhao Z. An Ensemble-Based Deep Convolutional Neural Network for Computer-Aided Polyps Identification From Colonoscopy. Front Genet 2022;13:844391. [PMID: 35559018 DOI: 10.3389/fgene.2022.844391] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
5 Wang L. Predicting Colorectal Cancer Using Residual Deep Learning with Nursing Care. Contrast Media Mol Imaging 2022;2022:7996195. [PMID: 35291423 DOI: 10.1155/2022/7996195] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Danku AE, Dulf EH, Banut RP, Silaghi H, Silaghi CA. Cancer Diagnosis With the Aid of Artificial Intelligence Modeling Tools. IEEE Access 2022;10:20816-31. [DOI: 10.1109/access.2022.3152200] [Reference Citation Analysis]
7 Dalju HB, Rushdi MA, Morsy A. Superpixel-based Segmentation and Classification of Gastrointestinal Landmarks and Diseases. 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2021. [DOI: 10.1109/biocas49922.2021.9645002] [Reference Citation Analysis]
8 P S R, V R. Identification of Colorectal Cancer in pathological images Using CNN Algorithm. 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) 2021. [DOI: 10.1109/icesc51422.2021.9532919] [Reference Citation Analysis]
9 Naz J, Sharif M, Raza M, Shah JH, Yasmin M, Kadry S, Vimal S. Recognizing Gastrointestinal Malignancies on WCE and CCE Images by an Ensemble of Deep and Handcrafted Features with Entropy and PCA Based Features Optimization. Neural Process Lett. [DOI: 10.1007/s11063-021-10481-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
10 Naz J, Sharif M, Yasmin M, Raza M, Khan MA. Detection and Classification of Gastrointestinal Diseases using Machine Learning. Curr Med Imaging 2021;17:479-90. [PMID: 32988355 DOI: 10.2174/1573405616666200928144626] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
11 Randhawa S, Alsadoon A, Prasad P, Al-dala’in T, Dawoud A, Alrubaie A. Deep learning for liver tumour classification: enhanced loss function. Multimed Tools Appl 2021;80:4729-50. [DOI: 10.1007/s11042-020-09900-8] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
12 Hwang M, Wang D, Kong XX, Wang Z, Li J, Jiang WC, Hwang KS, Ding K. An automated detection system for colonoscopy images using a dual encoder-decoder model. Comput Med Imaging Graph. 2020;84:101763. [PMID: 32805673 DOI: 10.1016/j.compmedimag.2020.101763] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
13 Sharma P, Bora K, Balabantaray BK. Identification of Significant Frames from Colonoscopy Video: An Approach towardsEarly Detection of Colorectal Cancer. 2020 International Conference on Computational Performance Evaluation (ComPE) 2020. [DOI: 10.1109/compe49325.2020.9200003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 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: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
15 Amiri Z, Hassanpour H, Beghdadi A. A Computer- Aided Method to Detect Bleeding Frames in Capsule Endoscopy Images. 2019 8th European Workshop on Visual Information Processing (EUVIP) 2019. [DOI: 10.1109/euvip47703.2019.8946168] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]