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A Versatile Mammography Screening System for Radiologists with Applications in Teaching
為此，本研究主要的目的是發展設計六個重要模組(GUI瀏覽模組、DataBase模組、CAD模組、Curriculum Design模組、Data Reporting模組及Internet模組)，並將其融入於不同應用系統(如學習/訓練/教學/研究)內，提供給放射線專科醫師不限時間與地點隨時可自我學習研究與訓練教學的需要，以提昇放射線專科醫師的專業技術，減少診斷的誤差。六個模組中以具有圖形使用者介面(GUI)瀏覽模組(ImageViewer系統)為應用層面最廣、親和力最強的模組。
Breast cancer has emerged as a second leading cause in women’s diseases in Taiwan. Mammography is by far is the only effective means to be able to detect breast cancer in early stage. It has been widely used as a screening procedure to provide radiologists with a second opinion and further help radiologists improve their diagnosis. An experienced and well-trained radiologist in mammography can significantly reduce fatality rate in breast cancer by 20-30%. As a result, how to effectively use mammography to detect early breast cancer becomes increasingly important in women’s health screening procedure. Unfortunately, a significant shortage of radiologists specializing in mammography has overburdened trained and experienced radiologists in the routine mammography screening. One effective means of mitigating this dilemma is to have a learning, training, teaching and research system that can allow radiologists to self learn and train to educate themselves at free of locations without compromising their diagnosis. In order to meet this need, the research conducted in this dissertation is to develop a versatile system which consists of 6 key modules, (1) a Graphic User Interface (GUI) software viewing tool called ImageViewer, (2) data base which includes data available in public domain and real cases, (3) computer aided diagnostic (CAD) system, (4) the curriculum design, (5) data reporting and (6) design and development of a tele-mammography system called Remote Method Invocation (RMI) Communicators. Depending upon different needs, the proposed system can be adapted to applications in learning, training, teaching and research. Graphic User Interface (GUI) model (ImageViewer) is the widest and the strongest among six models. In order to substantiate the utility of the designed system, an experimental pilot system is particularly designed for evaluation where a sample pool of 77 radiologists is surveyed and statistics analysis is conducted. The results demonstrate that the performance of sample radiologists using the system is improved over without using the system.
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