Review of Brain Tumor Detection Techniques
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 7)Publication Date: 2019-07-30
Authors : Rashmi Bajaj; Shadab Ali;
Page : 183-187
Keywords : Brain tumor; Textual Feature analysis; Classification;
Abstract
The bio-medical image processing is the application of image processing to process medical data. The techniques of feature extraction and machine learning are efficient techniques brain tumor detection. In this paper, various brain tumor detection techniques are reviewed analyzed in terms of certain parameters. It is analyzed that textual feature extraction and classification techniques give maximum accuracy for the brain tumor detection.
Other Latest Articles
- Effect of Carbon Sources and Their Various Concentrations for Optimize in In vitro Micro propagation of Banana Musa (spp.) Basrai
- Performance of Compost from Waterthyme (Hydrilla verticillata) in Bok Choy Growth (Brassica chinensis)
- Marketing Analysis of Processed Fishery Products using Interactive Media
- Performance Analysis of Fisheries Processing Product Group of Government in Bulukumba Regency
- Evaluation of the effect of Rimsulfuron and Linuron on weed infestation and potato yield
Last modified: 2019-08-08 16:21:50