Artificial Intelligence in Healthcare
AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone
Academic Edition, Chapter 44 - References/Further Reading
- Ko B-S, Wang Y-F, Li J-L, Li C-C, Weng P-F, Hsu S-C, et al. Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome. EBioMedicine. 2018 Nov;37:91–100.
- Nagata Y, Zhao R, Awada H, Kerr CM, Mirzaev I, Kongkiatkamon S, et al. Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes. Blood. 2020;136(20):2249–62.
- Syed-Abdul S, Firdani R-P, Chung H-J, Uddin M, Hur M, Park JH, et al. Author correction: artificial intelligence based models for screening of hematologic malignancies using cell population data. Sci Rep. 2020 Jun 23;10(1):10475.
- Rajaraman S, Antani SK, Poostchi M, Silamut K, Hossain MA, Maude RJ, et al. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 2018;6:e4568.