A Bone Fracture Detection using AI-Based Techniques

Author:

Pareek Preksha,Jayaswal Ruchi,Patil Shruti,Vyas Kishan

Abstract

The medical field in itself is a complex term where the diagnosis is of the most importance. If there is a correct diagnosis made on time in the appropriate time duration then the treatment can be started in a timely manner and this treatment will be beneficial in curing the patient. There are many different techniques that are available to find the abnormalities in an image given but we will review some of them which are most recently developed and will compare the results of each of them. A detailed study is done at the end of this paper which gives insights into fractures and their types. The dataset which we would consider is the MURA dataset. Discussion about further research in this area is also done to help researchers in exploring new dimensions in this field.  

Publisher

Scalable Computing: Practice and Experience

Subject

General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial intelligence-based orthopaedic perpetual design;Journal of Clinical Orthopaedics and Trauma;2024-02

2. Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

3. An Exploration of Metaverse Applications in the Health Sector and Their Limitations;2023 IEEE Engineering Informatics;2023-11-22

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