Early Brain Tumor Detection - ANN Approaches.

      Аннотация: Cancer is a genetic and vital disease. In last decade, many important genes responsible for the genesis of various cancers have been discovered, their mutations precisely identified, and the pathways through which they act are been characterized. Mammography is the most common technique used by radiologists in the screening and diagnosis of the cancer cells. Although it is seen as the best examination technique early detection of cancer cells presence a low accuracy in early prediction. Their interpretation requires skill and experience for proper diagnosis. Cancer detection is a complex diagnosis process as the point of origin in any part of the human body is still unknown. Brain Tumor detection is the most complicated task in all the existing different types of cancer, where a brief study is presented below.In all the studies mentioned above, the basic features of the Brain in all the views were assumed to represent the MRI images in tumor detection. The results were found to be superior in detection only in the advanced stages and profound knowledge was not sufficient to redefine the status of the tumor as benign or malign. All the images were considered in frequency domain.

Ключевые слова: artificial neural networks, Blind Source Separation, Brain Tumor, Wavelet Methods