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Cited by in F6Publishing
For: Mohapatra S, Swarnkar T, Mishra M, Al-dabass D, Mascella R. Deep learning in gastroenterology. Handbook of Computational Intelligence in Biomedical Engineering and Healthcare 2021. [DOI: 10.1016/b978-0-12-822260-7.00001-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Arya M, Motwani A, Sar SK, Choudhary C. Ensemble Deep Learning Approach with Attention Mechanism for COVID-19 Detection and Prediction. Smart Innovation, Systems and Technologies 2023. [DOI: 10.1007/978-981-19-6068-0_24] [Reference Citation Analysis]
2 Karthik CD, Shrada C, Krishnamurthy A. Skeletal Bone Age Determination Using Deep Learning. Smart Innovation, Systems and Technologies 2023. [DOI: 10.1007/978-981-19-6068-0_6] [Reference Citation Analysis]
3 Das MP, Rohini V. A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods. Smart Innovation, Systems and Technologies 2023. [DOI: 10.1007/978-981-19-6068-0_34] [Reference Citation Analysis]
4 Mohapatra S, Kumar Pati G, Mishra M, Swarnkar T. Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images. Ain Shams Engineering Journal 2022. [DOI: 10.1016/j.asej.2022.101942] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Mohapatra S, Pati GK, Swarnkar T. Efficiency of Transfer Learning for Abnormality Detection using Colonoscopy Images: A Critical Analysis. 2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) 2022. [DOI: 10.1109/icaecc54045.2022.9716610] [Reference Citation Analysis]
6 Swain BK, Rout SK, Sahani M, Muduli U, Sharma R. Classification of Skin Lesions Using Deep Convolutional Neural Network. Lecture Notes in Electrical Engineering 2022. [DOI: 10.1007/978-981-16-7076-3_40] [Reference Citation Analysis]
7 Jehangir B, Nayak SR. A Hybrid-Based Ensemble Learning Model and DNN for Automated Diagnosis of Brain Tumor from MRI Images. Lecture Notes in Electrical Engineering 2022. [DOI: 10.1007/978-981-16-7076-3_27] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]