Cerevia
Neuroimaging
Intelligence
SYSTEM ONLINE
EfficientNet-B0 · v1.0
⚠   FOR RESEARCH AND EDUCATIONAL PURPOSES ONLY — NOT A CERTIFIED MEDICAL DEVICE — NOT FOR CLINICAL DIAGNOSIS
// CEREVIA · ALZHEIMER'S STAGE CLASSIFICATION

MRI Neuroimaging Analysis

Upload an axial brain MRI slice for automated Alzheimer's stage detection powered by EfficientNet-B0, trained on the OASIS dataset with Grad-CAM visual explainability.

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Scan Input

PNG / JPG
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Drop MRI Scan Here

Axial brain MRI slice (T1-weighted)
or browse files

MRI Preview
FILENAME —
SIZE —
STATUS READY FOR ANALYSIS
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Model Specification

Architecture
EfficientNet-B0
Test Accuracy
99.97%
ROC-AUC
1.0000
Training Data
80K Images

EfficientNet-B0 trained from scratch on the OASIS neuroimaging dataset — no pretrained weights. Uses compound scaling with Squeeze-and-Excitation attention blocks and stochastic depth regularisation. Trained with label smoothing, Mixup augmentation, and cosine annealing warm restarts. Grad-CAM highlights the brain regions driving each prediction.

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Analysis Report

AWAITING INPUT
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NO SCAN LOADED
Upload an MRI image to begin Cerevia analysis

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Cerevia Clinical Report

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PRIMARY DIAGNOSIS
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ENGINE
EFFICIENTNET-B0
DATASET
OASIS
EXPLAINABILITY
GRAD-CAM
PLATFORM
CEREVIA v1.0
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Class Probability Distribution

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Grad-CAM Activation Map

EXPLAINABILITY
Original MRI Scan
original
Activation Heatmap
gradcam
LOW
HIGH ACTIVATION
Red and yellow regions indicate brain areas that most strongly influenced Cerevia's prediction. High activation in the temporal lobe, hippocampus, and parietal regions is consistent with known Alzheimer's neurodegeneration patterns.
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Cerevia
ANALYSING NEUROIMAGING DATA...