GitHub topics: blood-cells

Repositories

RosNaviGator/ANN-blood-cells

Competition in Artificial Neural Networks and Deep Learning course (2024-2025). The task is to develop a multi-class classification model to classify 96x96 RGB images of blood cells into eight classes, each representing a distinct cell state.

Language: Jupyter Notebook - Size: 8.54 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

monaen/Large-Scale-Multi-Class-Image-Based-Cell-Classification-with-Deep-Learning

Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning

Language: HTML - Size: 3.75 GB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 2

sayannath/Blood-Cell-Detection-TFOD-2.0

Using TensorFlow Object Detection API to detect blood cells

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 1

MrKhan0747/Blood-Cell-Subtypes-Classification

Using deep learning and CNN model

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 1

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.

Language: Python - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 101 - Forks: 52

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.

Size: 7.05 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 59 - Forks: 25

nemo256/ICAISC23

Blood cells image segmentation and counting using deep transfer learning.

Language: TeX - Size: 3.49 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

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.

Language: Jupyter Notebook - Size: 5.37 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

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

Language: Jupyter Notebook - Size: 361 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

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).

Language: Swift - Size: 1.5 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0