medmabcf

Automated-Leukemia-Detection-using-YOLO-based-Blood-Cell-Analysis

This project is an application designed for complete blood cell counting and automated detection of Acute Lymphoblastic Leukemia (ALL) cells. It works by identifying different types of white blood cells, allowing for the extraction of lymphocyte cells. These cells can then be classified as either normal or indicative of ALL

doodle

Compositional vector graphics in Scala / Scala.JS

medmabcf

bibliography

Management of scientific research publications(xml database)

data-engineering

Garbga-Damma-

Tunisian game known as garbage or drama with the minimax

images-processing

load extract segment enhance images

Inventory-Management-System

LSTM_ARIMA-hybreed-VS-ARIMA

this repository show how can be the hybrid comparing to ARIMA for long time steps forecasting

ML

ML codes

N-BaIoT_mlops

White-Blood-Cell-Detection-Dataset

This dataset is derived from the ‘PBC_dataset_normal_DIB’ dataset and it has been labeled for the detection and classification of white blood cells.