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

ABSTRACT:

Background

In recent years, artificial intelligence (AI) technology has experienced significant growth, leading to the development of advanced tools that assist radiologists in image interpretation and diagnostic decision-making. In the field of medical image processing, object detection and segmentation are crucial research areas. Achieving automatic and rapid segmentation of organs and lesions can significantly enhance physicians' work efficiency. However, most existing networks feature complex architectures and entail high computational complexity. Due to the limited processing power of the devices, achieving real-time segmentation often proves challenging. Therefore, the aim of this study was to design a lightweight segmentation algorithm that reduces resource consumption and e

SUBMITTER: Lu C 

PROVIDER: S-EPMC12514590 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature