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Artificial intelligence enabled laser scalpel

Xutai Cui

Xutai Cui

Beijing Shi

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The main causes of death of urban residents in China is malignant tumor, which is accounting for 26.44%. Tumor boundary recognition will influence the quality of life and survival period of patients after operation. The main idea is to solve the issue of recognizing the boundary of gliomas. ...learn more

Project status: Under Development

Artificial Intelligence

Intel Technologies
Intel FPGA

Overview / Usage

AI enabled intelligent laser scalpel:

Our research was to establish a system that can realize the real time tissue identification based on laser induced breakdown spectroscopy (LIBS)

Methodology / Approach

Our research was to establish a system that can realize the real time tissue identification based on Laser-induced breakdown spectroscopy (LIBS). The project used LIBS system to acquire the tissue data in operation, then, the machine learning model was used to analyze and determine the category of tissue.

Technologies Used

Laser-induced breakdown spectroscopy

k-Nearest Neighbor, kNN

Support Vector Machine, SVM

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