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For: Dolezal JM, Trzcinska A, Liao CY, Kochanny S, Blair E, Agrawal N, Keutgen XM, Angelos P, Cipriani NA, Pearson AT. Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features. Mod Pathol 2021;34:862-74. [PMID: 33299111 DOI: 10.1038/s41379-020-00724-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Cao Y, Sheng Y, Li X, Xi L, Yang J. Application of Materials Genome Methods in Thermoelectrics. Front Mater 2022;9:861817. [DOI: 10.3389/fmats.2022.861817] [Reference Citation Analysis]
2 Deng C, Han D, Feng M, Lv Z, Li D. Differential diagnostic value of the ResNet50, random forest, and DS ensemble models for papillary thyroid carcinoma and other thyroid nodules. J Int Med Res 2022;50:3000605221094276. [PMID: 35469474 DOI: 10.1177/03000605221094276] [Reference Citation Analysis]
3 Tarabichi M, Demetter P, Craciun L, Maenhaut C, Detours V. Thyroid cancer under the scope of emerging technologies. Mol Cell Endocrinol 2021;541:111491. [PMID: 34740746 DOI: 10.1016/j.mce.2021.111491] [Reference Citation Analysis]
4 Böhland M, Tharun L, Scherr T, Mikut R, Hagenmeyer V, Thompson LDR, Perner S, Reischl M. Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis. PLoS One 2021;16:e0257635. [PMID: 34550999 DOI: 10.1371/journal.pone.0257635] [Reference Citation Analysis]