77 citations · 175 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
Chun-Tse Chien, Rui-Yang Ju, Kuang-Yi Chou +2
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…
Semantic Segmentation Using Super Resolution Technique as Pre-Processing
Chih-Chia Chen, Wei-Han Chen, Jen-Shiun Chiang +2
Combining high-level and low-level visual tasks is a common technique in the field of computer vision. This work integrates the technique of image super resolution to semantic segm…
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
Rui-Yang Ju, Yu-Shian Lin, Jen-Shiun Chiang +3
To efficiently extract textual information from color degraded document images is a significant research area. The prolonged imperfect preservation of ancient documents has led to…
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
Rui-Yang Ju, Chih-Chia Chen, Jen-Shiun Chiang +3
The Transformer-based method has demonstrated remarkable performance for image super-resolution in comparison to the method based on the convolutional neural networks (CNNs). Howev…
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Rui-Yang Ju, Yu-Shian Lin, Yanlin Jin +3
The efficient extraction of text information from the background in degraded color document images is an important challenge in the preservation of ancient manuscripts. The imperfe…