• Time-consuming
• Prone to inter-observer variability

Our Solution

An AI-powered web application for:

• Automated tumor detection and segmentation
• Quantitative volumetric analysis
• High-resolution visualization from DICOM/NIfTI images
• Automated clinical reporting

Benefits

• Improved diagnostic accuracy
• Reduced clinician workload
• Data-driven clinical decision support

Problem Statement

1. Manual Analysis is Slow and Subjective

• Hundreds of MRI slices reviewed manually
• High inter-observer variability due to experience or fatigue
• Inconsistencies in diagnosis and treatment planning

2. Difficulty in Accurate Boundary Delineation

• Irregular, infiltrative tumor edges
• Edema and necrosis can mimic tumor appearance
• Hard to distinguish true tumor core

3. Lack of Automated Progression Tracking

• Manual comparison across scans is inefficient
• Subtle tumor growth or shrinkage is hard to quantify
• Critical for assessing treatment response

4. Need for an AI-Driven, Reproducible Solution

• Objective, consistent, and rapid measurements
• Standardized analysis across clinicians and hospitals

System Overview

1. Input

• MRI scans (DICOM / NIfTI format)

2. AI Preprocessing & Segmentation

• Standardized data processed by AI model
• Generation of tumor mask for analysis

3. Tumor Analysis & Comparison

• Extract quantitative metrics (volume, location)
• Compare tumor characteristics across multiple timepoints

4. Visualization & Report Generation

• Interactive 2D viewer for clinical review
• Structured PDF report for documentation and sharing

Objectives

1. Automated Brain Tumor Segmentation from MRI

• AI model to identify and outline tumor automatically

2. Quantitative Tumor Measurement & Analysis

• Precise tumor volume, dimensions, and location
• Tissue subtype classification

3. Multi-timepoint Tumor Comparison

• Track tumor progression or treatment response across scans
• Calculate changes in volume and morphology

4. Web-based Visualization & Reporting

• Secure interface for MRI upload and 3D visualization
• Automated, standardized medical reports