Journal of Clinical and Medical Sciences

Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana

Publications

• Research Article   
  Performance Evaluation of State-of-the-Art Texture Feature Extraction Techniques on Medical Imagery Tasks
  Author(s): Samuel Kusi-Duah*, Obed Appiah and Peter Appiahene
  
  Purpose: Interpreting medical images is certainly a complex task which requires extensive knowledge. According to Computer Aided Diagnosis (CAD) serves as a second opinion that will help radiologists in diagnosis and on the other hand content based image retrieval uses visual content to help users browse, search and retrieve similar medical images from a database based on the user’s interest. The competency of the CBMIR system depends on feature extraction methods. The textural features are very important to determine the content of a medical image. Textural features provide scenic depth, the spatial distribution of tonal variation, and surface orientation. Therefore, this study seeks to compare and evaluate some of the hand-crafted texture feature extraction techniques in CBMIR. This is to help those concerned in enhancing CBIR systems to m.. View more»
  

  DOI: 10.35248/2593-9947.23.7.228

  Abstract HTML PDF