Colon Cancer Detector

Tag Name: Colon Cancer Detector — AI Multispectral Diagnostic System

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Discover the Colon Cancer Detector — an AI-powered, multispectral imaging device engineered to transform early colorectal cancer diagnosis with real-time automated tumor grading.

Introduction

The Colon Cancer Detector is an embedded, AI-driven biomedical device that performs real-time acquisition, analysis, and classification of colon biopsy images. By combining multispectral imaging (470–710 nm visible + IR) with advanced machine learning algorithms (SVM + Rotation-Invariant LPQ), the system recognizes and grades cancerous tissue with unprecedented accuracy.

Validated on 200 clinical biopsy samples from Al-Ahli Hospital, the device achieves up to 91.5% accuracy, reducing diagnostic subjectivity and accelerating early detection

This innovative system serves as an automated, compact, and intelligent tool that supports pathologists, reduces analysis time, and enhances precision in cancer diagnosis.

Inventors

1 Somaya Al-Maadeed

2 Usman Asghar

3 Suchithra Kunhot

Main Features

Real-Time Image Acquisition

Captures multispectral biopsy images with live view capability — a hardware and software novelty not available in existing pathology tools.

Multispectral Tumor Grading (470–710 nm + IR)

Uses 13 visible and 26 infrared wavelength bands to reveal tissue characteristics invisible to the human eye.

Automated Decision-Making (AI)

Uses Rotation-Invariant LPQ + SVM for classification of 4 tissue types:

Normal
Hyperplastic Polyp
Tubular Adenoma (Low Grade)
Carcinoma Accuracy: 91.5%

Local Storage + Cloud Sharing

Stores all captured images inside the device with options for secure remote sharing to pathologists or hospital servers.

End-to-End Diagnostic Pipeline

Preprocessing → Feature Extraction → Classification → Report Generation — fully automated with email export.

Strategic Opportunities

Healthcare & Early Detection

Provides fast, objective, and accurate tumor grading—reducing burden on specialist pathologists.

Hospital Digitization & Smart Health

Supports AI-driven workflow automation for colorectal cancer screening.

Global Health Impact

Addresses the growing colorectal cancer burden, expected to rise significantly in the Middle East by 2030.

Medical AI & Diagnostics Industry

High potential for integration into hospitals, laboratories, and AI-health platforms across the region.

Value Proposition

Accuracy & Objectivity

AI-based classification reduces inter-observer variability, improving reliability over manual microscopy.

Speed & Efficiency

Automates image acquisition, classification, and report generation—saving hours of pathologist time.

Clinical Readiness

Validated on real clinical samples and supported by robust machine learning frameworks.

Scalable & Extendable

Can be adapted to detect other cancers (breast, prostate, liver) using the same multispectral imaging pipeline.

Invitation to Industry — Collaborate With Us

Join our mission to scale AI-driven cancer diagnostics globally. With multispectral imaging, embedded processing, and patented classification workflows, the Colon Cancer Detector is ready for:

Licensing

Clinical integration

R&D partnerships

Medical device commercialization

Smart hospital deployments

Supported by Qatar University, this innovation is positioned to become a regional and global benchmark in AI oncology diagnostics.

Connect With Us

Innovation Office — Qatar University | +974-4403-7197 | QU.IP@qu.edu.qa

Grant Support: QNRF NPRP 6-249-1-053

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