blood-cells
Here are 12 public repositories matching this topic...
Blood cells image segmentation and counting using deep transfer learning.
-
Updated
Jan 21, 2023 - TeX
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
-
Updated
Dec 21, 2022 - Python
This is a complete service of blood cell image classification using a Convolutional Neural Network, with an FastAPI backend and ReactJS web app
-
Updated
Nov 22, 2022 - Jupyter Notebook
Using TensorFlow Object Detection API to detect blood cells
-
Updated
Aug 27, 2021 - Jupyter Notebook
Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning
-
Updated
Jul 29, 2021 - HTML
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).
-
Updated
Jul 13, 2021 - Swift
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.
-
Updated
Jun 12, 2021
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.
-
Updated
Jun 12, 2021 - Jupyter Notebook
Using deep learning and CNN model
-
Updated
Jul 7, 2019 - Jupyter Notebook
Detecting Blood Cells in Blood Images using a patch-based Neural Network approach
-
Updated
May 20, 2019 - Jupyter Notebook
MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
-
Updated
Oct 3, 2018 - C++
Improve this page
Add a description, image, and links to the blood-cells topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the blood-cells topic, visit your repo's landing page and select "manage topics."