[PDF][PDF] Yolov8-am: Yolov8 with attention mechanisms for pediatric wrist fracture detection
CT Chien, RY Ju, KY Chou, CS Lin… - arXiv preprint arXiv …, 2024 - ruiyangju.github.io
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 …
who account for a significant proportion of fracture cases. Before performing surgery …
Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning
F Zhang, H Han, M Li, T Tian, G Zhang, Z Yang… - Frontiers in …, 2025 - frontiersin.org
Introduction The mortality rate associated with Mycobacterium tuberculosis (MTB) has seen
a significant rise in regions heavily affected by the disease over the past few decades. The …
a significant rise in regions heavily affected by the disease over the past few decades. The …
Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses
Accurate image interpretation is essential in the field of radiology to the healthcare team in
order to provide optimal patient care. This article discusses the use of artificial intelligence …
order to provide optimal patient care. This article discusses the use of artificial intelligence …
YOLOv9 for fracture detection in pediatric wrist trauma X‐ray images
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 apply the …
led to its widespread adoption across various scenarios. This paper is the first to apply the …
Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification
Bones collaborate with muscles and joints to sustain and maintain our freedom of mobility.
The proper musculoskeletal 13 activity of bone protects and strengthens the brain, heart …
The proper musculoskeletal 13 activity of bone protects and strengthens the brain, heart …
A real-time human bone fracture detection and classification from multi-modal images using deep learning technique
S Parvin, A Rahman - Applied Intelligence, 2024 - Springer
Human bone is an essential structure that allows the body to move. It is a common
observation in contemporary society that bone fractures occur frequently. The doctors use X …
observation in contemporary society that bone fractures occur frequently. The doctors use X …
Deep Learning Model Based on You Only Look Once Algorithm for Detection and Visualization of Fracture Areas in Three-Dimensional Skeletal Images
YD Jeon, MJ Kang, SU Kuh, HY Cha, MS Kim, JY You… - Diagnostics, 2023 - mdpi.com
Utilizing “You only look once”(YOLO) v4 AI offers valuable support in fracture detection and
diagnostic decision-making. The purpose of this study was to help doctors to detect and …
diagnostic decision-making. The purpose of this study was to help doctors to detect and …
Proposal-Free Fully Convolutional Network: Object Detection Based on a Box Map
Region proposal-based detectors, such as Region-Convolutional Neural Networks (R-
CNNs), Fast R-CNNs, Faster R-CNNs, and Region-Based Fully Convolutional Networks (R …
CNNs), Fast R-CNNs, Faster R-CNNs, and Region-Based Fully Convolutional Networks (R …
[HTML][HTML] The impact of implementing backbone architectures on fracture segmentation in X-ray images
X-ray imaging is widely utilized for the detection of bone fractures due to its affordability,
rapid processing capabilities, broad accessibility, and ease of use. Despite these …
rapid processing capabilities, broad accessibility, and ease of use. Despite these …
BoneCLIP-XGBoost: A Multimodal Approach for Bone Fracture Diagnosis
Z Su, Y Zhou, J Zhou, H Cao, H Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
The integration of visual and textual data in medical diagnostics holds significant potential
for improving the accuracy and reliability of clinical decision-making. Classical algorithms …
for improving the accuracy and reliability of clinical decision-making. Classical algorithms …