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.

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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
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article

Weak redundancy U-shaped network and heatmap-based object prompt method for real-time medical image processing

Chenzhuo Lu, Rongli Xie, Jian Fei, Zhuang Fu et al.
Quantitative Imaging in Medicine and Surgery
Brain Tumor Detection and Classification
article

Weak redundancy U-shaped network and heatmap-based object prompt method for real-time medical image processing

Chenzhuo Lu, Rongli Xie, Jian Fei, Zhuang Fu, Ziwen Guo
article en

Abstract

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.

Quantitative Imaging in Medicine and SurgeryVol. 15(10)
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
Openalex Percentile: Top 67%
Brain Tumor Detection and Classification
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