Year: 2025
Type: article
Abstract: The purpose of this study is to raise the number of aberrant red blood cells that can be recognized via image processing.To identify the data, this study used the Random Forest Technique as a machine learning model.As a result, ten aberrant red blood cells were discovered and categorized by the system.The system's pictures were captured from previous hospital patients.In addition, the slides are taken using a camera.After that, the image was loaded into the programme.The image was analyzed and classified by the system.The system's outputs, in practice, reveal the names of the aberrant red blood cells discovered in the image, as well as a soft copy of the list.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4408189964