MFO-TL: modified firefly optimal transfer learning based motion correction of fetal brain and placenta MRI for thyroid prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09556-3.pdf
Reference23 articles.
1. Ahmad W, Ahmad A, Lu C, Khoso BA, Huang L (2018) A novel hybrid decision support system for thyroid disease forecasting. Soft Comput 22(16):5377–5383
2. Akhtar T, Gilani SO, Mushtaq Z, Arif S, Jamil M, Ayaz Y, Butt SI, Waris A (2021) Effective voting ensemble of homogenous ensembling with multiple attribute-selection approaches for improved identification of thyroid disorder. Electronics 10(23):3026
3. Araya J, Rodriguez A, Lagos-SanMartin K, Mennickent D, Gutiérrez-Vega S, Ortega-Contreras B, Valderrama-Gutiérrez B, Gonzalez M, Farías-Jofré M, Guzmán-Gutiérrez E (2021) Maternal thyroid profile in first and second trimester of pregnancy is correlated with gestational diabetes mellitus through machine learning. Placenta 103:82–85
4. Attallah O, Sharkas MA, Gadelkarim H (2019) Fetal brain abnormality classification from MRI images of different gestational age. Brain Sci 9(9):231
5. Chandio JA, Mallah GA, Shaikh NA (2020) Decision support system for classification medullary thyroid cancer. IEEE Access 8:145216–145226
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