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+### About Dataset
+This dataset contains 10,000 single-cell images (64x64 pixels) taken from peripheral blood smears of patients diagnosed with Acute Myeloid Leukemia (Blood Cancer).
+
+The images were obtained from The Cancer Imaging Archive (TCIA).
+
+#### Citations:
+"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, C., Schwarz, S., Spiekermann, K. et al. Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks. Nat Mach Intell 1, 538–544 (2019). https://doi.org/10.1038/s42256-019-0101-9
+
+https://www.medanta.org/patient-education-blog/common-types-of-blood-cancer/
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