Phirom, K.; Charoenkwan, P.; Shoombuatong, W.; Charoenkwan, P.; Sirichotiyakul, S.; Tongsong, T.
DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters. J. Clin. Med. 2022, 11, 6305.
https://doi.org/10.3390/jcm11216305
AMA Style
Phirom K, Charoenkwan P, Shoombuatong W, Charoenkwan P, Sirichotiyakul S, Tongsong T.
DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters. Journal of Clinical Medicine. 2022; 11(21):6305.
https://doi.org/10.3390/jcm11216305
Chicago/Turabian Style
Phirom, Krittaya, Phasit Charoenkwan, Watshara Shoombuatong, Pimlak Charoenkwan, Supatra Sirichotiyakul, and Theera Tongsong.
2022. "DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters" Journal of Clinical Medicine 11, no. 21: 6305.
https://doi.org/10.3390/jcm11216305
APA Style
Phirom, K., Charoenkwan, P., Shoombuatong, W., Charoenkwan, P., Sirichotiyakul, S., & Tongsong, T.
(2022). DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters. Journal of Clinical Medicine, 11(21), 6305.
https://doi.org/10.3390/jcm11216305