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).
"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/