Project Review
The main purpose is to build a deep learning model for the detection of breast tumors in ultrasound images. This will help doctors to reduce the time it takes to read ultrasound images and to diagnose breast tumors more accurately, thereby helping patients to receive treatment as early as possible.
This project is a collaboration with the Taichung Veterans General Hospital.
Lab conducts a collaborative research project with Taichung Veterans General Hospital to Predict the Brain Tumor Growth. This research utilizes deep learning and machine learning to construct pre-processing techniques for brain tumor MRI images, as well as models for detecting the areas of brain tumors and edema. This facilitates a comparison of the extent of…
Project Overview Ovarian cancer is often asymptomatic in the early stages, and patients are often diagnosed with advanced ovarian cancer, which delays the best time for treatment. The current method for detecting ovarian cancer is to draw blood to determine the biomarker: CA-125, and to use ultrasound and gynecological examination as auxiliary diagnosis. However, the…
Project Overview In order to embrace the wave of new courses in Metaverse and further increase the development and diversity of subsequent courses, this project will use VR equipment and software to combine with data mining courses, expand data into 3D visualization, and conduct two-way interaction in the virtual space. In the new course content,…
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict the cancer stage with breast cancer ultrasound images. This research aims to construct a deep learning model for breast tumor detection, assisting physicians in reducing the time required for interpreting ultrasound images and achieving more accurate diagnoses. The goal is to assist…
Project Overview In today’s society with diverse challenges, exploring solutions through Artificial Intelligence (AI) technology has become a global trend. However, classroom learning often lacks context and real-world application. This project addresses this by leveraging the Sustainable Development Goals (SDGs) framework. Students explore datasets related to the SDGs and apply data mining techniques to develop…
Project Overview This research project is divided into three phases. In the first year, a fast and effective system will be developed based on machine learning models to detect malicious Android apps. In the second year, the knowledge representation characteristics of the system will be used to effectively outline the unchangeable behavior features of mobile…