blood-cells

There are 4 repositories under blood-cells topic.

Automatic-Identification-and-Counting-of-Blood-Cells
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.
cbc blood-cells detection counting machine-learning automated-diagnosis cnn blood-cell-detection blood-cell-counting iou knn rbc wbc platelets object-detection yolo
Language:Python 123
Complete-Blood-Cell-Count-Dataset
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.
automated-diagnosis blood-cell-count-dataset blood-cell-counting blood-cell-dataset blood-cell-detection blood-cells cbc cbc-dataset counting dataset detection platelet rbc wbc
81
monaen / Large-Scale-Multi-Class-Image-Based-Cell-Classification-with-Deep-Learning
Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning
cell-classification classification-algorithm medical-image-processing deep-learning convolutional-neural-networks cnn cnn-classification blood blood-cells cell-identification medical-imaging
Language:HTML 20
Diwas524 / Blood-Cancer-Detection-CNN
The purpose of our project is to develop a system that can automatically detect cancer from the blood cell images. This system uses a convolution network that inputs a blood cell images and outputs whether the cell is infected with cancer or not.
blood-cells
Language:Jupyter Notebook 11
MrKhan0747 / Blood-Cell-Subtypes-Classification
Using deep learning and CNN model
blood blood-cells blood-group cell-images-modeling classification cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks detection medical-imaging white-blood-cell-detection
Language:Jupyter Notebook 11
mouradap / blood_cell_classification_keras_fastapi_react
This is a complete service of blood cell image classification using a Convolutional Neural Network, with an FastAPI backend and ReactJS web app
ai blood-cells classification cnn deeplearning docker docker-compose fastapi google-colab image
Language:Jupyter Notebook 5
nemo256 / ICAISC23
Blood cells image segmentation and counting using deep transfer learning.
blood-cells deep-learning latex segmentation blood-count
Language:TeX 5
reds-heig / movable
MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
classifier malaria detection detect-parasites blood-cells machine-learning computer-vision
Language:C++ 4
sayannath / Blood-Cell-Detection-TFOD-2.0
Using TensorFlow Object Detection API to detect blood cells
tensorflow object-detection efficient-det tfod-api tfod keras blood-cells detection medical-image-processing medical-diagnosis
Language:Jupyter Notebook 4
AkshayDevkate / CoreML
My Blood Cell Report is a native iOS mobile application developed using a Machine learning text classification model trained in coreML (apple developer framework) to measure the impact of diseases on blood cells using symptoms as input (provided in texts in the application).
coreml ios-app ios swift storyboardui machinelearning text-classification blood-cells complete-bloodcell-count
Language:Swift 1
siddhanthp27 / Blood_Cell_Detection_Deep_Learning
Detecting Blood Cells in Blood Images using a patch-based Neural Network approach
blood-cells deep-learning neural-networks
Language:Jupyter Notebook 0
omegion / blood-cell-classifier-tensorflow
Working demo can be found at
tensorflow object-detection blood-cells
Language:PHP