AltayBioAI-Malaria-CNN-V1
A Lightweight Convolutional Neural Network (CNN) For Malaria Cell Classification Using PyTorch.
Model Overview
AltayBioAI-Malaria-CNN-V1 Is A Biomedical Computer Vision Model Designed To Classify Microscopic Cell Images For Malaria Detection.
The Model Is Built Using A Lightweight Convolutional Neural Network (CNN) And Implemented With PyTorch As Part Of The AltayBioAI Collection, An Open-Source Initiative Focused On Biomedical Artificial Intelligence, Medical Imaging, And Deep Learning.
Model Details
| Property | Value |
|---|---|
| Model Name | AltayBioAI-Malaria-CNN-V1 |
| Architecture | Custom CNN |
| Framework | PyTorch |
| Task | Image Classification |
| Domain | Medical Imaging |
| License | MIT |
Dataset
Cell Images For Detecting Malaria
Source: Kaggle
Training Configuration
| Parameter | Value |
|---|---|
| Epochs | 2 |
| Training Platform | Google Colab |
The Default Training Configuration Uses Two Epochs To Reduce Training Time And Improve Accessibility For CPU And Google Colab Users.
Performance
| Metric | Value |
|---|---|
| Validation Accuracy | 48.94% |
The Included Model Was Trained For Two Epochs Only.
Increasing The Number Of Training Epochs And Optimizing Hyperparameters May Significantly Improve Model Performance.
Technologies
- PyTorch
- Torchvision
- KaggleHub
- Google Colab
- Jupyter Notebook
Model File
File Name
malaria_cnn.pth
Project Features
- Lightweight CNN Architecture
- CPU-Friendly Training
- Google Colab Support
- Jupyter Notebook Support
- Standalone Python Script
- Saved PyTorch Model
- Educational Medical AI Example
Intended Use
This Model Is Intended For:
- Biomedical Artificial Intelligence Research
- Medical Image Classification
- Deep Learning Education
- Computer Vision Research
- Academic And Experimental Projects
Limitations
- Trained For Only Two Epochs.
- Validation Accuracy Is Limited Due To Short Training.
- Performance May Improve With Additional Training And Hyperparameter Optimization.
- Not Evaluated In Clinical Environments.
Disclaimer
This Model Is Intended For Educational And Research Purposes Only.
It Is Not Intended For Clinical Diagnosis, Medical Decision-Making, Or Any Real-World Healthcare Application.
Medical Decisions Should Always Be Made By Qualified Healthcare Professionals.
License
This Project Is Released Under The MIT License.
You Are Free To Use, Modify, And Distribute This Model Under The Terms Of The MIT License.
About AltayBioAI
AltayBioAI Is An Open-Source Collection Of Biomedical Artificial Intelligence Projects Focused On:
- Medical Imaging
- Deep Learning
- Computer Vision
- Computational Biology
- Artificial Intelligence For Healthcare
The Goal Of AltayBioAI Is To Develop Accessible, Educational, And Research-Oriented AI Models For The Biomedical Community.
Developed By AliSolaxay35