Project-guided Teaching Reform of Image Processing and Machine Vision: A Case Study of Intelligent Diagnosis of Pulmonary Nodules
This paper explores the innovation of teaching mode of image processing and machine vision courses under project orientation. Traditional image processing courses always lack a proper practical application, leading to some difficulties for students to understand the theoretical knowledge and apply the course content. Therefore, in order to better develop students' abilities in various aspects, this study takes the intelligent diagnosis of lung nodules as an example, and organically combines the theoretical knowledge in the textbook with the practical application in the project. In this paper we firstly discuss the content and importance of the image Processing and Machine Vision course, and review its research progress in related fields. Then we describe the design and implementation of the innovative model, and demonstrate the actual teaching effect under the new model through case studies. The final results show that this project-oriented teaching mode enhances students' learning interest, innovative thinking, practical and teamwork ability, which provides an important reference value for undergraduate talent cultivation.
Authors
- Lu Yang (ORCID: https://orcid.org/0000-0002-5843-6013)
- Runfeng Zhang (ORCID: https://orcid.org/0000-0002-4174-6090)
- Kai-peng WANG
- Zhenzhong Liu (ORCID: https://orcid.org/0000-0002-9087-0610)
- Min Wang (ORCID: https://orcid.org/0000-0003-4641-1799)
- Guobin Zhang (ORCID: https://orcid.org/0000-0002-9881-180X)
- L.X. Wang
Institutions
- Tianjin University of Technology (CN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1145/3722237.3722281
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00