Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia
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Updated
Mar 24, 2023 - Python
Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia
Ultralight and fast implementation of GoPeaks to call peaks in CUT&Tag/CUT&RUN data
The KKP Blood Screening Project is a web application designed for blood analysis using YOLOv5 object detection model deployed with Flask. This application allows users to upload an image and receive a labeled result indicating various blood cell types. The model is trained to detect 11 classes of blood cells
One of the worst epidemics in the history of mankind is the deadly disease known as cancer. There are several types of cancer and the one that is more commonly heard of these days is leukemia. There are two types of leukemia – acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) – and the purpose of this study is to take into accoun…
Hierarchical Clustering of Leukemia Gene Expression Dataset
Acute Lymphoblastic Leukemia (ALL) image classifier using CNN architecture.
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