• Prof Deepa TP
• Prof Shruthishree
• Dr Vivek V

Calculation structures loosely influenced by biological neurotic networks that compose animal brains are artificial frameworks or connectionist structures. These systems "learn to carry out tasks with instances, without first being configured with challenge-specific laws in general In the field of scientific picture analysis, brain tumor detection is a challenging task. A combination approach utilizing the Neutrosophy and Convolutional Neural Network (NS-CNN) is being introduced in the present analysis. This attempts to distinguish regions of tumors that are healthy and malignant from brain pictures. Human understanding directs scholars to focus on the Cortex, one of the body's main organs. The Brain's seamless work improves the human body's behaviors. Related factors influence the systemic functioning of the human brain. In the current research, this paper has taken a trigger like a brain tumor, specifically because of an irregular brain cell development. It is the analysis of the identification of Bain tumors by MR pictures. Neural network-based brain tumor diagnosis was proposed in the previous paper. This paper discusses both hardware and software. Two methods are interdependent and detect the malignant cell precisely.

Artificial Neural Network, Brain Tumor, MRI, Neural Network, Detection, Health Care.

"Review on Neural Networks Approaches for Tumor Detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.18-22, January-2019, Available :http://www.jetir.org/papers/JETIREU06004.pdf

"Review on Neural Networks Approaches for Tumor Detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp18-22, January-2019, Available at : http://www.jetir.org/papers/JETIREU06004.pdf