HybridCN-NAS: Advanced AI for Leukemia Classification

Advanced deep learning system for automated classification of leukemia from blood smear images using HybridCN-NAS architecture with high accuracy and reliability.

Analyze Medical Image

Experience cutting-edge AI-powered cancer detection. Upload your medical image for instant analysis using our advanced deep learning algorithm.

Upload Your Image

Drag & drop or click to select your medical image

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JPG, PNG, BMP, TIFF
Max: 10MB

Try Sample Images

Test our AI with pre-loaded medical images for instant demo

Sample Dataset
10
Benign
✓
10
Early
!
10
Pre
⚠
10
Pro
⚡

Model Performance Metrics

99.92%
Accuracy
Overall Correctness
95.89%
Sensitivity
True Positive Rate
99.64%
AUC Score
Area Under Curve
96.45%
Precision
Positive Predictive Value
98.74%
Specificity
True Negative Rate
96.14%
F1-Score
Harmonic Mean

How It Works

Our multi-stage deep learning pipeline ensures accurate and reliable cancer detection

1. Upload Image

Upload your blood smear image securely to our system

2. Preprocessing

Image enhancement and apply different filters for segmentation

3. AI Analysis

Image cells will be segmented using Attention U-Net, and HybridCN-NAS extracts features and classifies leukemia

4. Results

Get 4-class classification with confidence scores and visualization