feat: add tumor size and severity analysis pipeline

[shambavi2007]

Fixes #20

Overview

This PR introduces a comprehensive tumor size and severity analysis pipeline for segmented brain MRI scans.

The implementation adds advanced post-processing analysis on top of the existing segmentation workflow to provide richer and more clinically meaningful tumor insights.

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Features Added

1. Tumor Size Analysis

Implemented:

• tumor pixel count calculation
• tumor occupancy percentage
• relative brain occupancy analysis

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2. Severity Classification

Severity	Occupancy
Small	<2%
Medium	2–8%
Large	8–15%
Critical	>15%

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3. Multiple Tumor Region Detection

Implemented:

• disconnected tumor region detection
• total tumor region count
• largest tumor component analysis

Using OpenCV connected component analysis.

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4. Shape Complexity Analysis

Added tumor shape analysis using:

• contour detection
• perimeter analysis
• circularity scoring

This helps evaluate tumor irregularity and spread patterns.

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5. Unified Tumor Analysis Pipeline

python tumor_analysis_pipeline.py

This combines:

• tumor metrics
• severity analysis
• region detection
• shape analysis

into a single integrated pipeline.

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6. Report Generation

Automatically generates:

• tumor_analysis_report.json

inside:

analysis/reports/

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Files Added

analysis/
├── README.md
├── tumor_metrics.py
├── severity_analysis.py
├── region_detection.py
├── shape_analysis.py
├── tumor_analysis_pipeline.py
└── reports/
    └── tumor_analysis_report.json

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Testing Performed

Validated:

• tumor occupancy calculations
• severity classification logic
• connected component detection
• contour-based shape analysis
• JSON report generation
• end-to-end integrated pipeline execution

Successfully tested using existing segmentation output images from the project dataset pipeline.

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Purpose

This enhancement improves:

• segmentation interpretability
• MRI analysis richness
• post-processing research capabilities
• clinically meaningful visualization
• future extensibility for progression tracking

[Brijeshthummar02]

@shambavi2007 i am in between my final uni. exams as code diff is quite large i need time to review. till the time open new issues and work around it