Physical and Engineering Sciences in Medicine, Год журнала: 2025, Номер unknown
Опубликована: Май 28, 2025
Язык: Английский
Physical and Engineering Sciences in Medicine, Год журнала: 2025, Номер unknown
Опубликована: Май 28, 2025
Язык: Английский
BMC Medical Informatics and Decision Making, Год журнала: 2025, Номер 25(1)
Опубликована: Апрель 24, 2025
Язык: Английский
Процитировано
0Frontiers in Neurorobotics, Год журнала: 2025, Номер 19
Опубликована: Апрель 28, 2025
Early and accurate diagnosis of pneumonia is crucial to improve cure rates reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead subjectivity misdiagnosis. To address this, we propose a novel method using the Fast-YOLO deep learning network that introduced. First, constructed dataset containing five categories applied image enhancement techniques increase data diversity model’s generalization ability. Next, YOLOv11 structure was redesigned accommodate complex features images. By integrating C3k2 module, DCNv2, DynamicConv, effectively enhanced feature representation reduced computational complexity (FPS increased from 53 120). Experimental results subsequently show our outperforms other commonly used detection models in terms accuracy, recall, mAP, offering better real-time capability clinical application potential.
Язык: Английский
Процитировано
0Physical and Engineering Sciences in Medicine, Год журнала: 2025, Номер unknown
Опубликована: Май 28, 2025
Язык: Английский
Процитировано
0