Weak redundancy U-shaped network and heatmap-based object prompt method for real-time medical image processing
In scenarios where the calculation ability of the equipment is constrained or real-time performance requirements are stringent, the design of lightweight networks serves as a fundamental approach to achieving high-speed data stream processing functionality. For instance, this applies to embedded devices and real-time ultrasonic scanning applications. The method proposed in this paper significantly reduces the number of parameters, thereby decreasing computational resource consumption and enhancing speed. This improvement holds substantial significance for optimizing computational efficiency in practical applications.
Authors
- Chenzhuo Lu (ORCID: https://orcid.org/0000-0001-5648-1526)
- Rongli Xie (ORCID: https://orcid.org/0000-0002-5266-383X)
- Jian Fei (ORCID: https://orcid.org/0000-0001-7159-8562)
- Zhuang Fu (ORCID: https://orcid.org/0000-0001-8825-4029)
- Ziwen Guo (ORCID: https://orcid.org/0000-0002-8814-6340)
Institutions
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- State Key Laboratory of Oncogene and Related Genes (CN)
- State Key Laboratory of Mechanical System and Vibration
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2025-567
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00