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Cited by in F6Publishing
For: Mridha MF, Hamid MA, Monowar MM, Keya AJ, Ohi AQ, Islam MR, Kim JM. A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis. Cancers (Basel) 2021;13:6116. [PMID: 34885225 DOI: 10.3390/cancers13236116] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Maurya S, Tiwari S, Mothukuri MC, Tangeda CM, Nandigam RNS, Addagiri DC. A review on recent developments in cancer detection using Machine Learning and Deep Learning models. Biomedical Signal Processing and Control 2023;80:104398. [DOI: 10.1016/j.bspc.2022.104398] [Reference Citation Analysis]
2 Ayana G, Choe S. BUViTNet: Breast Ultrasound Detection via Vision Transformers. Diagnostics 2022;12:2654. [DOI: 10.3390/diagnostics12112654] [Reference Citation Analysis]
3 Ibrokhimov B, Kang J. Two-Stage Deep Learning Method for Breast Cancer Detection Using High-Resolution Mammogram Images. Applied Sciences 2022;12:4616. [DOI: 10.3390/app12094616] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Tumakov D, Kayumov Z, Zhumaniezov A, Chikrin D, Galimyanov D. Elimination of Defects in Mammograms Caused by a Malfunction of the Device Matrix. J Imaging 2022;8:128. [DOI: 10.3390/jimaging8050128] [Reference Citation Analysis]
5 Ayana G, Park J, Choe SW. Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification. Cancers (Basel) 2022;14:1280. [PMID: 35267587 DOI: 10.3390/cancers14051280] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
6 Cellina M, Cè M, Khenkina N, Sinichich P, Cervelli M, Poggi V, Boemi S, Ierardi AM, Carrafiello G. Artificial Intellgence in the Era of Precision Oncological Imaging. Technol Cancer Res Treat 2022;21:153303382211417. [DOI: 10.1177/15330338221141793] [Reference Citation Analysis]