YOLOv12 with Otsu thresholding on cell-based segmentation classifies AML cells at 99.3% validation and test accuracy.
Automatic detection of acute leukemia (all and aml) utilizing customized deep graph convolutional neural networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model
YOLOv12 with Otsu thresholding on cell-based segmentation classifies AML cells at 99.3% validation and test accuracy.