Detection of Bone Fractures Automatically with Enhanced Performance with Better Combination of Filtering and Neural Networks

Karimunnisa, Syed; Savarapu, Pradeep Raj; Madupu, Ram Kumar; Basha, Cmak Zeelan; Neelakanteswara, P.

doi:10.1109/icirca48905.2020.9183085

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…In [8], From this research paper, we can gain the following technical knowledge: The use of computer-aided diagnosis (CAD) can reduce the burden on orthopedic surgeons and improve the accuracy of fracture detection in X-rays. The proposed technique combines conservative filtering, canny edge detection, and texture feature extraction to enhance the efficiency of fracture detection.…”

Section: Literature Reviewmentioning

confidence: 99%

HealthSquare: A Survey of Deep Learning Based Healthcare Platform

Bisht

2024

IJSREM

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The multi-health diagnosis web application HealthSquare represents a pioneering endeavor in healthcare technology by integrating advanced AI models for comprehensive health analysis. The system comprises multiple components, including two image processing models for fracture detection from X-ray reports and brain tumor identification from MRI scans. Additionally, GCP’s Vertex AI is leveraged for blood & thyroid report analysis to predict & provide descriptive diagnosis. Moreover, the platform enables users to create accounts for secure storage of medical reports, akin to a specialized digital locker tailored specifically for healthcare documents. Furthermore, an AI-driven chat bot offers real-time health- related guidance and recommendations to users based on their queries. The integration of these components aims to redefine healthcare diagnostics by providing users with accessible, accurate, and personalized health analysis tools. Utilizing advanced image processing techniques, AI-driven analyses, and secure user accounts, the project strives to revolutionize healthcare by offering a comprehensive and user-centric approach to medical diagnosis and health management. Keywords: AI Integration, Fracture Detection, Brain Tumor Identification, Thyroid Detection, Blood Analysis, Secure Medical Report Storage, AI Chat Bot.

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Section: Literature Reviewmentioning

confidence: 99%

HealthSquare: A Survey of Deep Learning Based Healthcare Platform

Bisht

2024

IJSREM

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“…A bone fracture is a significant or complete breaking of any type of bone in the human body. 1 The serious cause of the bone fracture creates structural distortions and pain. Painful bone fracture and stress are generally found in the human body.…”

Section: Introductionmentioning

confidence: 99%

A comparative experimental analysis and deep evaluation practices on human bone fracture detection using x‐ray images

Kumar

Prabu

Pandimurugan

et al. 2022

Concurrency and Computation

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Summary X‐ray images are widely used to identify fractures in human bones. Radiographic diagnosis models take more time and manual procedures for establishing physical analysis of bone fractures. Furthermore, the lack of clinical resources and the medical support systems lead to inaccurate bone data extractions. In this case, the need for detail is required to understand the scientific issues in x‐ray and magnetic resonance imaging (MRI) based bone fracture diagnosis solutions. Particularly, the current bone fracture detection models are emerging with computerized frameworks and health informatics consoles. In this regard, this article lists five phases. First, data preparation and data collection tasks are initiated. Second, bone fracture diagnosis models are comparatively analyzed to find optimal observations. Consequently, the third phase of the article examines the treatments against bone fracture observations with traditional and deep learning (DL) techniques. The fourth phase consists of relative diagnosis solutions and the treatment benefits on various types of technical frameworks. Finally, this work concludes the comparison with recent DL‐based bone fracture identification models.

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