Abstract
Oral lichen planus, which is classified as a precancerous state by the World Health Organization (WHO), is one of the most dangerous disease in the filed of oral health. Such disease poses a serious threat to oral health. In this work, we focus on classification the oral lichen planus photos between pro-treatment and post-treatment. We selected 67 pro-treatment patients’ photos and 41 post-treatment patients’ photos. And then, we employed SEResNet model to classify these photos. In order to compare the performances of this model, we also employed other two classification models, including ResNet, and DenseNet, in this work.
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References
Romualdo, G.R., Silva, E.A., Da Silva, T.C., et al.: Burdock (Arctium lappa L.) root attenuates preneoplastic lesion development in a diet and thioacetamide‐induced model of steatohepatitis‐associated hepatocarcinogenesis. Environ. Toxicol. 35(4), 518–527 (2020)
Taleb Agha, M., Baharetha, H.M., Al-Mansoub, M.A., et al.: Proapoptotic and antiangiogenic activities of Arctium lappa L. on breast cancer cell lines. Scientifica 2020 (2020)
Nascimento, B.A.C., Gardinassi, L.G., Silveira, I.M.G., et al.: Arctium lappa extract suppresses inflammation and inhibits melanoma progression. Medicines 6(3), 81 (2019)
Mu, S., Xue, D., Qin, X., et al.: Exploring the mechanism of Arctium Lappa L. leaves in the treatment of Alzheimer’s disease based on chemical profile, network pharmacology and molecular docking. Adv. Biol. 7(8), 2300084 (2023)
Lee, C.Y., Hsin, M.C., Chen, P.N., et al.: Arctiin inhibits cervical cancer cell migration and invasion through suppression of S100A4 expression via PI3K/Akt pathway. Pharmaceutics 14(2), 365 (2022)
Sun, B., Cai, E., Zhao, Y., et al.: Arctigenin triggers apoptosis and autophagy via PI3K/Akt/mTOR inhibition in PC-3M cells. Chem. Pharm. Bull. 69(5), 472–480 (2021)
Deng, W.H., Li, X.H.: Resolving nucleosomal positioning and occupancy with MNase-seq. Yi Chuan= Hereditas 42(12), 1143–1155 (2020)
Chereji, R.V., Bryson, T.D., Henikoff, S.: Quantitative MNase-seq accurately maps nucleosome occupancy levels. Genome Biol. 20, 1–18 (2019)
Esnault, C., Magat, T., García-Oliver, E., et al.: Analyses of promoter, enhancer, and nucleosome organization in mammalian cells by MNase-Seq. Enhancers Promoters Methods Protoc. 93–104 (2021)
Karabacak Calviello, A., Hirsekorn, A., Wurmus, R., et al.: Reproducible inference of transcription factor footprints in ATAC-seq and DNase-seq datasets using protocol-specific bias modeling. Genome Biol. 20, 1–13 (2019)
Ma, S., Zhang, Y.: Profiling chromatin regulatory landscape: insights into the development of ChIP-seq and ATAC-seq. Mol. Biomed. 1, 1–13 (2020)
Trieu, K., Bhat, S., Dai, Z., et al.: Biomarkers of dairy fat intake, incident cardiovascular disease, and all-cause mortality: a cohort study, systematic review, and meta-analysis. PLoS Med. 18(9), e1003763 (2021)
Hutin, S., Blanc-Mathieu, R., Rieu, P., et al.: Identification of plant transcription factor DNA-binding sites using seq-DAP-seq. In: Kaufmann, K., Vandepoele, K. (eds.) Plant Gene Regulatory Networks: Methods and Protocols, pp. 119–145. Springer, New York (2023). https://doi.org/10.1007/978-1-0716-3354-0_9
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 61902337), Xuzhou Science and Technology Plan Project (KC21047), Jiangsu Provincial Natural Science Foundation (No. SBK2019040953), Natural Science Fund for Colleges and Universities in Jiangsu Province (No. 19KJB520016) and Young Talents of Science and Technology in Jiangsu and ghfund 202302026465 and Key Support Project for Elderly Oral Health Incubation in Jiangsu Province, and Qingmiao engineering by Xuzhou first People’s Hospital.
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Hu, X., Chen, B., Yang, X., Bao, W., Zhang, H. (2024). Oral Lichen Planus Classification with SEResNet. In: Huang, DS., Premaratne, P., Yuan, C. (eds) Applied Intelligence. ICAI 2023. Communications in Computer and Information Science, vol 2014. Springer, Singapore. https://doi.org/10.1007/978-981-97-0903-8_6
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DOI: https://doi.org/10.1007/978-981-97-0903-8_6
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