An Approach to Detect the Presence of Neoplasm with Convolutional Neural Network

Nikunj Mahesh Wadgeri; Dr. Raju Dara1

1

Publication Date: 2022/12/02

Abstract: The human brain is the nervous system's command centre, governing functions such as memory, vision, hearing, knowledge, personality, problem-solving capabilities, and so on. Deep learning has gained traction in almost every field where decision-making is crucial. Machine learning and deep learning algorithms in healthcare have exhibited promising results in a variety of sectors, like cancer detection with Magnetic Resonance Imaging (MRI), surgical robots, and so on. Deep learning is being employed to detect the presence of neoplasms in scanned MRI images. Neoplasm is characterized as the uncontrolled proliferation of tissues in a specificportion of the body, notably those with cancer-like traits. A brain tumour is a category of neoplasm generated by development of abnormal brain cells. Non-cancerous (benign) tumours and cancerous (malignant) tumours are the two main types of brain tumours

Keywords: Human Brain, MRI, Neoplasm, Deep Learning, Convolutional Neural Network.

DOI: https://doi.org/10.5281/zenodo.7388561

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22NOV834.pdf

REFERENCES

No References Available