[PDF][PDF] IOT enabled Intelligent featured imaging Bone Fractured Detection System

G Kumar, V Patidar, P Biswas, M Patel… - Journal of Intelligent …, 2023 - researchgate.net
In the present era, there are lots of advancements and initiatives that have been undertaken
through image processing techniques and IoT (Internet of Things). Image processing has …

A Comprehensive Review of Fracture Detection and Identification from Medical Images using Deep Learning Methods

TP Kumar, K Suthendran - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
The detection and identification of fractures have significant importance in the field of
medical imaging, as they play a crucial role in facilitating precise diagnoses and prompt …

M3YOLOv5: Feature enhanced YOLOv5 model for mandibular fracture detection

T Zhou, H Wang, Y Du, F Liu, Y Guo, H Lu - Computers in Biology and …, 2024 - Elsevier
Background It is very important to detect mandibular fracture region. However, the size of
mandibular fracture region is different due to different anatomical positions, different sites …

Novel transfer learning based bone fracture detection using radiographic images

A Alam, AS Al-Shamayleh, N Thalji, A Raza… - BMC Medical …, 2025 - Springer
A bone fracture is a medical condition characterized by a partial or complete break in the
continuity of the bone. Fractures are primarily caused by injuries and accidents, affecting …

Predicting ultrasound wave stimulated bone growth in bioinspired scaffolds using machine learning

M Fielder, AK Nair - Journal of the Mechanical Behavior of Biomedical …, 2024 - Elsevier
For conditions like osteoporosis, changes in bone pore geometry even when porosity is
constant have been shown to correlate to increased fracture risk using techniques such as …

Detection of Hand Bone Fractures in X-ray Images using Hybrid YOLO NAS

SC Medaramatla, CV Samhitha, SD Pande… - IEEE …, 2024 - ieeexplore.ieee.org
The majority of bones that have fractured in humans are hand bones. As we use our hands
widely, they need early and accurate detection to be diagnosed. Fractures in the hands are …

Intelligent wearable healthcare monitoring framework: trends in sensor-deep learning approaches

A Choudhury, KK Sarma - … and Computer Vision for Industry 4.0, 2023 - igi-global.com
Intelligent wearable healthcare monitoring has emerged as a promising field in healthcare,
allowing for real-time and continuous monitoring of a patient's health status. In recent years …

A deep multi-filtering network based on dilated mask RCNN framework with self-attention RNN model for segmenting and classifying bone fracture

R Jothi, K Jayanthi - Multimedia Tools and Applications, 2024 - Springer
Accurate bone fracture identification is still a tough problem in medical imaging due to the
difficulty of detecting fractures concealed by overlapping structures, varying picture quality …

Fracture detection from X-ray images using different Machine Learning Techniques

S Mohanty, MR Senapati - 2023 1st International Conference …, 2023 - ieeexplore.ieee.org
In this period, X-rays are the main instruments used to examine suspected human fractures.
It takes a lot of time to manually examine X-rays, which calls for experienced radiologists or …

Navigating the Integration of Machine Learning in Healthcare: Challenges, Strategies, and Ethical Considerations

S Ganesan, N Somasiri - Journal of Computational and Cognitive …, 2024 - ray.yorksj.ac.uk
The amalgamation of artificial intelligence (AI) and machine learning (ML) in healthcare
offers a revolutionary prospect to improve patient outcomes, optimize workflow, and curtail …