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

  ● Future Plan: To switch to DICOM format for obtaining original CT values and correlate these with the segmented regions to facilitate fatty liver screening Model Training

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:

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