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.
Project Overview Brain tumors, prevalent across all ages, arise from complex brain structures. Abnormal cell growth forms tumors, classified as benign or malignant. Early detection is crucial, as these slow-growing masses often lack symptoms. Due to their diverse locations and effects, treatment is challenging. This project aims to leverage deep learning and machine learning for…
Project Overview The aging population, healthcare professional shortage, and rising mortality rates from medical errors have driven the global trend of healthcare informatization. The healthcare industry is facing increasing pressure from rising medical costs, peer competition, and growing consumer awareness. Reducing medical costs, promoting rational resource allocation, and improving operating performance are key goals for…
Project Overview This project aims to integrate cross-school resources in Taiwan to: (1) Develop mobile broadband teaching capacity: Enhance education capabilities through resource sharing and collaboration, empowering schools to prepare future generations for success in this field. (2) Build a teaching practice and application verification platform: Establish a robust platform for hands-on learning and real-world testing, bridging the gap…
Project Overview Endometriosis is a common gynecological disease. According to different diagnostic criteria, endometriosis is found in many women of reproductive age and often occurs in women after menopause. Most of these women have abdominal pain symptoms, and endometriosis is one of the causes of their symptoms and pain. In addition, because the incidence of…
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict progression-free survival in brain tumor patients. The laboratory plans to collaborate with physicians to construct a brain tumor image segmentation model to assist in the early detection and diagnosis of tumors.
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…