專業實習競賽
元智大學資訊管理學系
第二十八屆專業實習競賽
Using DL for Video (Time series) classification (Expand for 3D images)
指導教授：
詹前隆
實習單位：
ZK2
專題生：
何旻諾(ID:1091665)
許淯丞(ID:1081710)
We want to create a deep learning model to predict how lung nodules in patients will change over time. This will help doctors recommend suitable treatment plans.
The main focus of the project is to establish a deep learning model, combining CNN and RNN, for identifying the future changes in lung nodules in patients.
實驗室用途
決策支援系統(Decision Support Systems)之需求分析、設計、建置與評估優化照護系統(U-care Systems)之需求分析、設計、建置與評估供應鏈管理之整合性規劃(Integrated planning for Supply Chain Management)、物流管 理之車輛途程與排程規劃(Vehicle routing and scheduling for Logistics Management)
We utilize a collected dataset for training and optimizing the model to enhance the accuracy of classification.
Throughout the project, we encountered numerous challenges, and the slow progress was disheartening. However, we consistently sought solutions, thereby enhancing our problem-solving capabilities.
