Work

AttSAM: Attention-Augmented Segment Anything Model for Accurate Polyp Segmentation

Year: 2025

Type: conference-paper

Source: WRC Symposium on Advanced Robotics and Automation (WRC SARA)

DOI: 10.1109/wrcsara68202.2025.11194946

Authors: Lixiang Lan, Yang Yang, Guangyu Zhao, Yifeng Li, Wanting Liu, Jikui Wang

Institution: Changchun University of Science and Technology

Language: English

Topic: Colorectal Cancer Screening and Detection

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4415222655

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Cites: 15

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