A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms

IF 1.2 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI:10.55730/1300-0632.4048

Damla Coşkun, D. Karaboğa, Alper Bastürk, B. Akay, Ö. U. Nalbantoğlu, Serap Doğan, Ishak Pacal, Meryem Altin Karagöz

引用次数: 0

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YOLO 模型与基于变压器的 YOLOv5 模型在乳房 X 射线照片质量检测方面的比较研究

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来源期刊

Turkish Journal of Electrical Engineering and Computer Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

2.90

自引率

9.10%

发文量

审稿时长

6.9 months

期刊介绍： The Turkish Journal of Electrical Engineering & Computer Sciences is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Accepts English-language manuscripts in the areas of power and energy, environmental sustainability and energy efficiency, electronics, industry applications, control systems, information and systems, applied electromagnetics, communications, signal and image processing, tomographic image reconstruction, face recognition, biometrics, speech processing, video processing and analysis, object recognition, classification, feature extraction, parallel and distributed computing, cognitive systems, interaction, robotics, digital libraries and content, personalized healthcare, ICT for mobility, sensors, and artificial intelligence. Contribution is open to researchers of all nationalities.