Research
Development of an AI model to automatically segment target regions in CT images to assist in the clinical measurement of fatty liver:
● IRB Number: KMUHIRB-F(I)-20220010
● Research Team: Professor I-Chen Wu and Professor Ming-Chung Chou’s team
● Research Progress: The model has been trained using JPEG-format CT images from 302 esophageal cancer patients after CRT treatment
● Segmentation Targets: Liver, blood vessels, spleen, gallbladder, and other tissues

Book Publication:
● Title: Random Number Generators for Computer Simulation and Cyber Security
● Authors: Lih-Yuan Deng , Nirman Kumar , Henry Horng-Shing Lu(盧鴻興) , Ching-Chi Yang
● Abstract:
● Title: Handbook of Blockchain Analytics
● Authors: Cathy Yi-Hsuan Chen, Wolfgang Karl Härdle, Henry Horng-Shing Lu(盧鴻興)
● Abstract:

KMUGPT
KMUGPT Officially Launched:

KMUGPT Introduction & Functional Applications:

Equipment - Nvidia H200
Advantages:
1. Accelerates Medical Image Analysis and Diagnosis
2. Enhances Medical Data Management and Security
3. Provides Greater Computing Power and Efficiency

