Malerial-Cell-Classification

Dataset:

https://drive.google.com/file/d/1xD4r84RYExkFflsZ2VLytJs658kECj_L/view?usp=sharing

***Malarial cell claffication using a CNN from stratch.***

Malaria is a mosquito-borne infectious disease that affects humans and other animals. Malaria causes symptoms that typically include fever, tiredness, vomiting, and headaches. In severe cases, it can cause yellow skin, seizures, coma, or death.
Malaria parasites can be identified by examining under the microscope a drop of the patient's blood, spread out as a “blood smear” on a microscope slide. Prior to examination, the specimen is stained (most often with the Giemsa stain) to give the parasites a distinctive appearance.

Uninfected and Parasitized cells:

Installation and Quick Start

To use the repo, please follow the guidelines below:

Clone the Repository:

  $ git clone https://github.com/devanshpratapsingh/Malarial-Cell-Classification.git

Enter the directory:
```
  $ cd Malarial-Cell-Classification
```
Install the requirements:
```
  $ pip install -r requirements.txt
```
For running:
```
  open Malarial_Cell_Classification.py
```

With this, I hope you liked the project, if you did please make sure to leave a star. Thanks!

NOTE : This project is made with the intention that an ordinary person can make sense out of, in other words, beginners can learn from it.