Frontiers in Intelligent Colonoscopy (🔥 Survey Paper 🔥)

[Jancsi9981]

↘️ Let's shaping the Future of AI in Colonoscopy

• Paper link: https://arxiv.org/abs/2410.17241
• Project page: https://github.com/ai4colonoscopy/IntelliScope

TLDR:

• 🟢 ColonSurvey: The most comprehensive survey for intelligent colonoscopy techniques.
• 🟢 ColonINST & ColonGPT: The first multimodal dataset & language model in the colonoscopy domain

↘️ Join the IntelliScope community

Why IntelliScope? The name blends “Intelligent” and “colonoScope,” where “Intelli” represents advanced AI-driven reasoning, and “Scope” refers to the medical endoscopic device. Together, it embodies a cutting-edge multimodal system designed to enhance colonoscopy with intelligent scene understanding and decision-making.

↘️ The most comprehensive survey in colonoscopy

Explore ColonSurvey 🔗, the most in-depth survey to date on colonoscopic scene perception (CSP). We analyze 63 datasets and 137 deep learning methods published since 2015, identifying major challenges, underexplored areas, and future directions in the AI era. Stay ahead of the curve with actionable insights and research trends.

We are happy to present and promote your research work in our survey list. Contact me if you have any ideas!!!

↘️ Stepping into the Multimodal Era (Next Wave???)

We advocate three foundational initiatives to power the next wave of multimodal colonoscopy AI:

• ColonINST 🔗 – The first instruction-tuning dataset for colonoscopy, featuring 300K+ images, 128K+ GPT-4V-generated captions, and 450K+ human-machine dialogues across 62 clinical categories. It enables interactive, task-specific AI reasoning.

• ColonGPT 🔗 – A lightweight, domain-specific multimodal LLM built for real-time clinical assistance. It combines SigLIP-SO (0.4B) + Phi-1.5 (1.3B) with a multigranularity adapter, reducing token usage by over 66% without compromising performance.

• Multimodal Benchmark 🔗 – A benchmarking suite featuring 6 general-purpose and 2 medical-specific models, tested across three key colonoscopy tasks. Enabling fair, standardized, and rapid model comparison.

↘️ Promote your work!!!

Let’s reshape the future of intelligent colonoscopy together. Collaborate, contribute, and showcase your innovations. Reach out me via email (gepengai.ji@gmail.com)