Work

SCC-YOLO: An Improved Object Detector for Assisting in Brain Tumor Diagnosis

Year: 2025

Type: conference-paper

Abstract: Brain tumours may cause neurologic impairment, cognitive and mental disorders, elevated intracranial pressure and convulsions, which may be associated with a serious health hazard. The You Only Look Once (YOLO) system has been demonstrated to be highly accurate when it comes to detecting objects in medical imaging. A new SCC-YOLO structure is proposed, which combines SCConv with YOLOv9. The SCConv module improves the performance of the convolutional neural network, which improves the performance of the system. In this paper, we investigate the impact of YOLOv9 on the Br35H dataset (Brain_Tumor_Dataset) Results indicate that SCC-YOLO improved mAP50 by 0.3% on the Br35H dataset and by 0.5% on our custom dataset compared to YOLOv9. SCC-YOLO achieves state-of-the-art performance in brain tumor detection.

DOI: 10.1145/3733006.3733026

Authors: Runci Bai, Guibao Xu, Yanze Shi

Institutions: China Academy of Information and Communications Technology, China University of Mining and Technology

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4410920331

FWCI: 9.914

Cites: 26

Cited by: 7

Related to: 10