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Computer Vision in Medical Imaging

Step-by-step AI analysis pipeline — Upload any medical image to see the full workflow

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Step 1 – Image Acquisition

Load the medical image (X-ray, MRI, CT scan) and inspect pixel distribution.

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Step 2 – Preprocessing

Grayscale conversion, Gaussian noise reduction, contrast and brightness enhancement.

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Step 3 – Segmentation

Otsu thresholding separates tumor/anomaly regions from normal tissue.

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Step 4 – Feature Extraction

Extract shape, size, area, location, and texture features from each region.

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Step 5 – Classification

Rule-based scoring classifies regions as Normal, Low, Medium, or High anomaly.

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Step 6 – Visualization

Final physician report with annotated findings, heatmap, edges, and 3D surface.

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Upload Medical Image

Drag & drop or click to select an X-ray, MRI, CT scan, or any medical image

Supports: JPG, PNG, BMP, TIFF


Preview
Processing medical image...
1
Acquisition
2
Preprocessing
3
Segmentation
4
Feature Extract
5
Classification
6
Visualization