blood-cell-detection
There are 9 repositories under blood-cell-detection topic.
MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
MahmudulAlam/Complete-Blood-Cell-Count-Dataset
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.
mkang315/CST-YOLO
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
MrAnayDongre/BloodCell-Detection-Datatset
This is a dataset of blood cells photos.
BTrDung/approach-to-segmentation-and-classification-from-leukocyte-images-to-count-blood-cells
This is our repo for CS231 - Computer Vision, Spring 2021, University of Information Technology, VNU HCM
sam-marhaendra/Blood-Cells-Object-Detection-and-Classification
This is an individual project on Image Processing and Computer Vision course about blood cells object detection and classification.
RaiBP/cell-estimator
Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.
Jimut123/cellseg
Code for the paper titled "Advancing instance segmentation and WBC classification in peripheral blood smear through domain adaptation: A study on PBC and the novel RV-PBS datasets" published on Elsevier's Expert Systems With Applications (ESWA) journal.
ManiNagaraj2/Blood-Cell-Detection
Blood Cell Detection with YOLOv10: This project utilizes YOLOv10, a cutting-edge object detection model, to accurately identify and count blood cells in images. Integrated with a Gradio web interface, the tool provides real-time image annotation and detailed cell count summaries, making it a powerful solution for automated blood cell analysis.