Automated Brain Tumor Classification with Longitudinal MRI Analysis

INPUT

INPUT• Current MRI Scan• Previous MRI Scan (Optional)

PROCESS

Preprocessing• Noise Reduction• Normalization

Tumor Segmentation (U-Net)• Tumor Region Extraction

Feature Extraction• Tumor Size• Shape

Tumor Classification (MobileNetV2)• Benign / Malignant

Comparison Module• Current vs Previous MRI

OUTPUT

OUTPUT• Tumor Classification Report• Benign / Malignant• Tumor Growth Status• Growing / Stable / Reducing

Dashboard / Result Display

Project Timeline: Tumor Classification System

W1 &nbsp;&nbsp;&nbsp; W2 &nbsp;&nbsp;&nbsp; W3 &nbsp;&nbsp;&nbsp; W4 &nbsp;&nbsp;&nbsp; W5 &nbsp;&nbsp;&nbsp; W6 &nbsp;&nbsp;&nbsp; W7 &nbsp;&nbsp;&nbsp; W8 &nbsp;&nbsp;&nbsp; W9 &nbsp;&nbsp;&nbsp; W10

1. Data Preparation

2. Preprocessing

3. Tumor Segmentation

4. Model Classification

5. Comparison Module

Project Implementation Timeline

W1&nbsp;&nbsp;W2&nbsp;&nbsp;W3&nbsp;&nbsp;W4&nbsp;&nbsp;W5&nbsp;&nbsp;W6&nbsp;&nbsp;W7&nbsp;&nbsp;W8&nbsp;&nbsp;W9&nbsp;&nbsp;W10&nbsp;&nbsp;W11&nbsp;&nbsp;W12

6. Dashboard & Report

● Blue: Input Stage | ● Orange: Process Stage | ● Green: Output Stage

AI