[B] Surgical Phase Pattern Recognition from Video Data

Master Assignment

[B] Surgical Phase Pattern Recognition from Video Data

Type: Master EE/CS/HMI

Period: TBD

Student: (Unassigned)

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Project Background:

Accurate identification of surgical phases from video footage is essential for improving surgical workflow analysis, enhancing training for medical professionals, and supporting real-time decision-making during operations. By recognizing patterns in surgical videos, AI can assist in understanding the sequence of tasks performed during surgery, leading to better surgical outcomes and optimization of operating room efficiency. This project focuses on developing advanced models to automatically recognize surgical phases from videos, enabling cutting-edge advancements in medical AI.

Project Overview:

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