Lab Conducts a Collaborative Research Project with TVGH to Predict Progression-free Survival in Brain Tumor
|

Lab Conducts a Collaborative Research Project with TVGH to Predict Progression-free Survival in Brain Tumor

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.

Prediction to Progression-Free Survival Model in Patients with Brain Tumor
|

Prediction to Progression-Free Survival Model in Patients with Brain Tumor

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…

Lab Conducts a Collaborative Research Project with CCH to Predict the Prognosis and Healthcare Consumption of Hospitalized Trauma Patients
|

Lab Conducts a Collaborative Research Project with CCH to Predict the Prognosis and Healthcare Consumption of Hospitalized Trauma Patients

Lab Conducts a collaborative research project with Changhua Christian Hospital to predict the prognosis and healthcare consumption of hospitalized trauma patients. The project introduces deep learning for predicting in-hospital mortality and length of stay for patients. Therefore, it contributes to predicting the prognosis and healthcare consumption of hospitalized trauma patients, ultimately enhancing the quality of…

Lab Conducts a Collaborative Research Project with TVGH to Predict the Cancer Stage with Breast Cancer Ultrasound Images
|

Lab Conducts a Collaborative Research Project with TVGH to Predict the Cancer Stage with Breast Cancer Ultrasound Images

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…

Breast Tumor Early Detection and Diagnosis
|

Breast Tumor Early Detection and Diagnosis

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…

Lab Conducts a Collaborative Research Project with TVGH to Predict the Brain Tumor Growth
|

Lab Conducts a Collaborative Research Project with TVGH to Predict the Brain Tumor Growth

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…

Dr. Meng-Hsiun Tsai Appointed as the Chief Advisor of the TIIEA
| | |

Dr. Meng-Hsiun Tsai Appointed as the Chief Advisor of the TIIEA

Congratulations! Dr. Meng-Hsiun Tsai Appointed as the Chief Advisor of the Taiwan Innovation and Invention Exchange Association (TIIEA). During the term, Dr. Tsai will continue to actively promote cross-strait technological innovation and invention, facilitate exchanges among inventors from both Taiwan and China, and periodically organize scientific and technological conferences (academic forums).

RFID and LBS Based Systems on Mobile Medical Instruments for Healthcare Units
|

RFID and LBS Based Systems on Mobile Medical Instruments for Healthcare Units

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…

Colon Cancer Genetic Markers Prediction Systems
|

Colon Cancer Genetic Markers Prediction Systems

Project Overview Colorectal cancer, consistently the third deadliest in Taiwan, demands early detection for a 90% five-year survival rate. Yet, only 39% are caught early. Its rising incidence across age groups, influenced by diet, gender, and genetics, necessitates further research. This Industry Cooperation project tackles this by building a standalone colorectal cancer patient database with…