以上参考为为项目书中行业内评价论文列表中的论文:
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[6] Blake N, Gaifulina R, Griffin LD, Bell IM, Thomas GMH*. Machine learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent [J]. Diagnostics, 2022, 12(6): 1491.
[7] Lin Y-Y, Tang M-M, Liu Y, Jiang M-J, He S-S, et al. A narrative review on machine learning in diagnosis and prognosis prediction for tongue squamous cell carcinoma [J]. Transactional Cancer Research, 2022, 11(12): 4409-4415.
[8] Elmakaty I, Elmarasi M, Amarah A, Abdo R, Malki MI*. Accuracy of artificial intelligence-assisted detection of Oral Squamous Cell Carcinoma: A systematic review and meta-analysis [J]. Critical Reviews in Oncology/Hematology, 2022, 178: 103777.
[9] López-Cortés XA, Matamala F, Venegas B, Rivera C. Machine-Learning Applications in Oral Cancer: A Systematic Review. Applied Sciences, 2022, 12(11): 5715.
[10] Alabi RO, Almangush A, Elmusrati M, Mäkitie AA*. Deep Machine for Oral Cancer: From Precise Diagnosis to Precision Medicine [J]. Frontiers in Oral Health, 2022, 2: 794248.