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[Untitled vector image]. Vecteezy. https://www.vecteezy.com/free-vector/cool
Ahmed, Nizar, et al. "Identification of leukemia subtypes from microscopic images using convolutional neural network." Diagnostics 9.3 (2019): 104.
Alomari, Yazan M., et al. "Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm." Computational and mathematical methods in medicine 2014 (2014).
Angelopoulos, Anastasios, et al. "Uncertainty sets for image classifiers using conformal prediction." arXiv preprint arXiv:2009.14193 (2020).
Chollet, Francois, et al., “Keras Applications.” https://keras.io/api/applications/#usage-examples-for-image-classification-models. (2015).
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
DiNardo, Courtney D., et al. "Interactions and relevance of blast percentage and treatment strategy among younger and older patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS)." American journal of hematology 91.2 (2016): 227-232.
Huang, Furong, et al. "AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network: A STARD compliant diagnosis research." Medicine 99.45 (2020).
Matek, C., Schwarz, S., Marr, C., & Spiekermann, K. (2019). A Single-cell Morphological Dataset of Leukocytes from AML Patients and Non-malignant Controls [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.36f5o9ld
Matek, Christian, et al. "Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks." Nature Machine Intelligence 1.11 (2019): 538-544.
Mayo Clinic. (n.d.). Leukemia: Symptoms and causes. https://www.mayoclinic.org/diseases-conditions/leukemia/symptoms-causes/syc-20374373
Nazari, Elham, et al. "Deep learning for acute myeloid leukemia diagnosis." Journal of Medicine and Life 13.3 (2020): 382.
Salah, Haneen T., et al. "Machine learning applications in the diagnosis of leukemia: Current trends and future directions." International journal of laboratory hematology 41.6 (2019): 717-725.
[Untitled vector image]. Vecteezy. https://www.vecteezy.com/free-vector/cool