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most citedYOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images

77 citations · 219 across the 16 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024★ 5 cited

Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images

Rui-Yang Ju, Chun-Tse Chien, Enkaer Xieerke +1

Children often suffer wrist trauma in daily life, while they usually need radiologists to analyze and interpret X-ray images before surgical treatment by surgeons. The development…

cs.CV2024★ 1 cited

YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection

Rui-Yang Ju, Chun-Tse Chien, Jen-Shiun Chiang

Wrist trauma and even fractures occur frequently in daily life, particularly among children who account for a significant proportion of fracture cases. Before performing surgery, s…

cs.CV2024

ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation

Yanlin Jin, Rui-Yang Ju, Haojun Liu +1

Deep visual odometry, despite extensive research, still faces limitations in accuracy and generalizability that prevent its broader application. To address these challenges, we pro…

cs.CV2024★ 1 cited

Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection

Rui-Yang Ju, Chun-Tse Chien, Chia-Min Lin +1

Children often suffer wrist injuries in daily life, while fracture injuring radiologists usually need to analyze and interpret X-ray images before surgical treatment by surgeons. T…

cs.CV2024

Efficient Generative Adversarial Networks for Color Document Image Enhancement and Binarization Using Multi-scale Feature Extraction

Rui-Yang Ju, KokSheik Wong, Jen-Shiun Chiang

The outcome of text recognition for degraded color documents is often unsatisfactory due to interference from various contaminants. To extract information more efficiently for text…

eess.IV2024★ 77 cited

YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images

Chun-Tse Chien, Rui-Yang Ju, Kuang-Yi Chou +1

The introduction of YOLOv9, the latest version of the You Only Look Once (YOLO) series, has led to its widespread adoption across various scenarios. This paper is the first to appl…