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 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 With the rapid growth of the Internet, the amount of text data has also grown exponentially. This data can be used to obtain information for decision-making. Text analysis can effectively obtain potential information, which may include public opinion, product usage opinions, or market trend information. How to extract important features from text is…
Project Overview As fingerprint recognition and retina scanning technology become increasingly widespread in the field of biometrics, scientists have begun to focus on brain science. Because the brain waves generated by each person are unique when stimulated by external stimuli, non-invasive electrodes can be attached to the cerebral cortex to record brain wave fluctuations using…
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 With the mature development of the Internet and virtual communities, how to accurately analyze potential and future development trends from the massive document data of online communities will be an important emerging topic in the field of humanities and social sciences. Therefore, in the first year of this project, we hope to use…
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…