Page 121 - AIH-2-2
P. 121
Artificial Intelligence in Health AI in early breast cancer diagnosis: A review
PRISMA 2020-compliant flow diagrams, with interactivity doi: 10.3390/diagnostics11091565
for optimised digital transparency and open synthesis. 26. Subramanian AAV, Venugopal JP. A deep ensemble network
Campbell Syst Rev. 2022;18:e1230. model for classifying and predicting breast cancer. Comput
doi: 10.1002/cl2.1230 Intell. 2023;39(2):258-282.
17. Chowdary J, Yogarajah P, Chaurasia P, Guruviah V. A Multi- doi: 10.1111/coin.12563
task learning framework for automated segmentation and 27. Yasir N, Anwar S, Khan MT. Machine vision based intelligent
classification of breast tumors from ultrasound images. breast cancer detection. Pak J Eng Technol. 2022;5(1):1-10.
Ultrason Imaging. 2022;44(1):3-12.
doi: 10.51846/vol5iss1pp1-10
doi: 10.1177/01617346221075769
28. Malek AA, Alias MA, Razak FA, Noorani MSM, Mahmud R,
18. Rehman K ur, Li J, Pei Y, Yasin A, Ali S, Saeed Y. Architectural Zulkepli NFS. Persistent homology-based machine learning
distortion-based digital mammograms classification using method for filtering and classifying mammographic
depth wise convolutional neural network. Biology (Basel). microcalcification images in early cancer detection. Cancers
2021;11(1):15. (Basel). 2023;15(9):2606.
doi: 10.3390/biology11010015 doi: 10.3390/cancers15092606
19. Liao J, Gui Y, Li Z, et al. Artificial intelligence-assisted 29. Alfian G, Syafrudin M, Fahrurrozi I, et al. Predicting breast
ultrasound image analysis to discriminate early breast cancer from risk factors using SVM and extra-trees-based
cancer in Chinese population: A retrospective, multicentre, feature selection method. Computers. 2022;11(9):136.
cohort study. EClinicalMedicine. 2023;60:102001. doi: 10.3390/computers11090136
doi: 10.1016/j.eclinm.2023.102001 30. Jang JY, Kim YS, Kang KN, Kim KH, Park YJ, Kim CW.
20. Mahmood T, Arsalan M, Owais M, Lee MB, Park KR. Multiple microRNAs as biomarkers for early breast cancer
Artificial intelligence-based mitosis detection in breast diagnosis. Mol Clin Oncol. 2021;14(2):31.
cancer histopathology images using faster R-CNN and deep doi: 10.3892/mco.2020.2193
CNNs. J Clin Med. 2020;9(3):749.
31. Li X, Tang X, Li K, Lu L. Evaluation of serum
doi: 10.3390/jcm9030749 MicroRNAs (miR-9-5p, miR-17-5p, and miR-148a-3p)
21. Fogliatto FS, Anzanello MJ, Soares F, Brust-Renck PG. as potential biomarkers of breast cancer. BioMed Res Int.
Decision support for breast cancer detection: Classification 2022;2022:9961412.
improvement through feature selection. Cancer Control. doi: 10.1155/2022/9961412
2019;26(1).
32. Adam-Artigues A, Garrido-Cano I, Simón S, et al.
doi: 10.1177/1073274819876598 Circulating miR-30b-5p levels in plasma as a novel potential
22. Ayana G, Park J, Choe SW. Patchless multi-stage transfer biomarker for early detection of breast cancer. ESMO Open.
learning for improved mammographic breast mass 2021;6(1):100039.
classification. Cancers (Basel). 2022;14(5):1280. doi: 10.1016/j.esmoop.2020.100039
doi: 10.3390/cancers14051280 33. Adam-Artigues A, Garrido-Cano I, Carbonell-Asins JA,
et al. Identification of a two-MicroRNA signature in plasma
23. Nomani A, Ansari Y, Nasirpour MH, Masoumian A, Pour as a novel biomarker for very early diagnosis of breast
ES, Valizadeh A. PSOWNNs-CNN: A computational cancer. Cancers (Basel). 2021;13(11):2848.
radiology for breast cancer diagnosis improvement based on
image processing using machine learning methods. Comput doi: 10.3390/cancers13112848
Intell Neurosci. 2022;2022:5667264. 34. Sharifi Z, Talkhabi M, Taleahmad S. Identification of
doi: 10.1155/2022/5667264 potential microRNA diagnostic panels and uncovering
regulatory mechanisms in breast cancer pathogenesis. Sci
24. Wang X, Xie F, Yang Y, Zhao J, Wu G, Wang S. Rapid diagnosis Rep. 2022;12:20135.
of ductal carcinoma in situ and breast cancer based on
raman spectroscopy of serum combined with convolutional doi: 10.1038/s41598-022-24347-7
neural network. Bioengineering (Basel). 2023;10(1):65. 35. Kim MW, Park S, Lee H, et al. Multi‐miRNA panel of
doi: 10.3390/bioengineering10010065 tumor‐derived extracellular vesicles as promising diagnostic
biomarkers of early‐stage breast cancer. Cancer Sci.
25. Yu K, Chen S, Chen Y. Tumor segmentation in breast 2021;112(12):5078-5087.
ultrasound image by means of res path combined with
dense connection neural network. Diagnostics (Basel). doi: 10.1111/cas.15155
2021;11(9):1565. 36. Park J, Shin Y, Kim TH, Kim DH, Lee A. Plasma metabolites
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