Downloads · 30 days
0
malaria-scan-cnn
elishaaminu90/malaria-scan-cnn
malaria-scan-cnn is a image classification model from elishaaminu90. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
A Convolutional Neural Network (CNN) that detects malaria-infected vs uninfected blood cells from microscope images.
Access
Public
Updated Aug 1, 2026
Repo size
10 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h510 MB · 98%
At a glance
- Task
- Image Classification
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Jul 31, 2026
- Updated
- Aug 1, 2026
- SHA
- ed549288
Model card
From the Hugging Face model README
🔬 MalariaScan — Malaria Cell Classifier
A Convolutional Neural Network (CNN) that detects malaria-infected vs uninfected blood cells from microscope images.
Model Performance
Achieves 94% overall accuracy on the validation set:
| Class | Precision | Recall | F1-Score |
|---|---|---|---|
| Parasitized (Infected) | 0.97 | 0.91 | 0.94 |
| Uninfected | 0.92 | 0.97 | 0.94 |
Model Architecture
- 3 Conv2D + MaxPooling blocks (16 → 32 → 64 filters)
- Dropout regularization (0.2 - 0.5)
- Dense layer (64 units) + sigmoid output
- 826,529 total parameters
Live Demo
Dataset
Trained on the Cell Images for Detecting Malaria dataset (NIH).
Usage
from tensorflow.keras.models import load_model
model = load_model('malaria_cnn_model.h5')
GitHub
Full code: https://github.com/elishaaminu90-debug/Cell-Vision.AI
Author
Elisha Aminu — GitHub | LinkedIn
Disclaimer
For educational purposes only. Not a substitute for professional medical diagnosis.
- Task
- Image Classification
- Library
- keras
- License
- mit
- Created
- Jul 31, 2026
- Updated
- Aug 1, 2026