MAMMO-SCAN AI

AI-Powered Breast Cancer Segmentation System

Huawei Cloud Active
Dashboard Upload Results Analytics
Total Scans Processed
1,247
+12% this month
Avg. Dice Score
0.72
Multi-phase accuracy
Active Medical Centers
4
DUKE, NACT, ISPY1/2
Avg. Processing Time
1.8 min
95% time reduction

Recent Analysis Queue

Live Processing
DUKE_045_0002 Completed
Dice Score: 0.94 Time: 1.6 min
100%
NACT_023_0001 Processing
Started: 2 minutes ago
68%
ISPY2_332_0002 Quality Check
Status: Awaiting review
35%
DUKE_128_0001 Completed
Dice Score: 0.89 Time: 2.1 min
100%

System Health

ModelArts API Online
Huawei Cloud ECS Active
GPU Inference Ready
Database Status Connected

AI Model Info

Architecture nnU-Net 3D
Training Cases 1,506 DCE-MRI
Validation Score 0.72 Dice
Model Version v2.1.0

Upload DCE-MRI Scan

Drop NIfTI files here

or click to browse

Processing Pipeline
1
Quality Assessment
2
Multi-phase Integration (0000-0002)
3
nnU-Net Segmentation
4
Post-processing & Report

Supported Formats

NIfTI Format

Primary format (.nii, .nii.gz)

Recommended for DCE-MRI sequences
DICOM Format

Standard medical imaging (.dcm)

Automatic conversion supported
Requirements
Multi-phase DCE-MRI (phases 0000-0002 recommended)
Minimum resolution: 256x256 pixels
Maximum file size: 500MB per series

Segmentation Result

Sample segmentation visualization

DUKE_045_0002_1

Dice Score

0.94

Excellent

Tumor Volume

24.3 cm³

Measured

Clinical Metrics

Processing Time 1.6 minutes
Target: < 2 minutes
Segmentation Quality Excellent
94% accuracy
Confidence Score 92%
High confidence
Quantitative Analysis
Maximum Diameter 3.8 cm
Surface Area 18.6 cm²
Hausdorff Distance 11.2 mm
Boundary Smoothness High

Multi-Center Performance

DUKE
291 cases

0.94

Dice Score
NACT
64 cases

0.96

Dice Score
ISPY1
171 cases

0.76

Dice Score
ISPY2
980 cases

0.90

Dice Score

Processing Statistics

Today's Scans

48

This Week

287

Total Processed

1,247

System Performance Metrics

Average Processing Time

1.8 min

Target: < 2 min

System Uptime

99.7%

Target: > 99%

GPU Utilization

78%

Target: Optimal