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Cited by in F6Publishing
For: Bhardwaj P, Bhandari G, Kumar Y, Gupta S. An Investigational Approach for the Prediction of Gastric Cancer Using Artificial Intelligence Techniques: A Systematic Review. Arch Computat Methods Eng. [DOI: 10.1007/s11831-022-09737-4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
Number Citing Articles
1 Kanna GP, Kumar SJKJ, Parthasarathi P, Kumar Y. A Review on Prediction and Prognosis of the Prostate Cancer and Gleason Grading of Prostatic Carcinoma Using Deep Transfer Learning Based Approaches. Arch Computat Methods Eng 2023. [DOI: 10.1007/s11831-023-09896-y] [Reference Citation Analysis]
2 Kaur K, Singh C, Kumar Y. Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review. Arch Computat Methods Eng 2023. [DOI: 10.1007/s11831-023-09892-2] [Reference Citation Analysis]
3 Sisodia PS, Ameta GK, Kumar Y, Chaplot N. A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images. Arch Computat Methods Eng 2023. [DOI: 10.1007/s11831-022-09870-0] [Reference Citation Analysis]
4 Kaur S, Kumar Y, Koul A, Kumar Kamboj S. A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges. Arch Comput Methods Eng 2023;30:1863-95. [PMID: 36465712 DOI: 10.1007/s11831-022-09853-1] [Reference Citation Analysis]
5 Khan MA, Sahar N, Khan WZ, Alhaisoni M, Tariq U, Zayyan MH, Kim YJ, Chang B. GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification. Diagnostics 2022;12:2718. [DOI: 10.3390/diagnostics12112718] [Reference Citation Analysis]