A Machine Learning Framework for Osteoarthritis Diagnosis Using Advanced Feature Engineering
In addition to bone most cancers and other diseases, it isn't always unusual for people to be afflicted by fractures because of trauma or different motives. Fractures can arise in any bone in our body, including the ankle, heel, wrist, hip, ribs, foot, and chest. And greater. Fractures are not seen to the naked eye on an X-ray or CT test. However, those photographs are every so often insufficient for analysis. Nowadays, picture processing plays an essential role in fracture detection. Image processing is important for the storage and transmission of up-to-date facts, in particular for contemporary picture alternate, video coding (telephone conversation), digital libraries, photograph databases, and remote sensing. This article invites you to find out the imaging techniques used to stumble on fractures. This paper discusses the artwork of fracture detection the usage of new strategies to enhance image processing and fracture detection. This article affords the generation used to increase the photographic tool to intrusion detection gadgets, their blessings and drawbacks. Accuracy is the epoch value associated with a median value between 0.7 and zero.88, and we will recall an education mode with a model stored in h5 with many samples.
Authors
- Sujith Sai
- Shanthi Thangam Manukumar
- Y. Kowshik
Institutions
- Sathyabama Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/icdsaai65575.2025.11011755
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00