Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.

Count red, white blood cells to detect various diseases.

This is our repo for CS231 - Computer Vision, Spring 2021, University of Information Technology, VNU HCM

Clasificación de células sanguíneas

This is an individual project on Image Processing and Computer Vision course about blood cells object detection and classification.

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

Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.