Paper Contents
Abstract
Brain tumors can be categorized into two distinct classifications: benign and malignant. Malignant brain tumors, in particular, represent the most prevalent and aggressive diseases within this domain, often leading to significantly reduced life expectancy when reaching an advanced stage. Consequently, the meticulous planning of treatments assumes paramount importance in enhancing the quality of life for affected patients. Nevertheless, certain constraints exist, such as the limited provision of precise quantitative measurements for a restricted number of frames. To address this critical issue, the development of a dependable and automated classification system is imperative in mitigating the mortality associated with these conditions.Blockchain technology has swiftly emerged as a burgeoning field of scientific inquiry, exerting substantial influence across diverse sectors, including education, banking, and healthcare. In the realm of healthcare, numerous health ailments stem from the dual factors of misdiagnosis by healthcare practitioners and a lack of awareness regarding symptoms by patients. Foremost among these contemporary health challenges is the formidable specter of cancer. The manifestation of a brain tumor typically unveils itself through symptoms such as persistent and severe headaches, unexplained bouts of nausea or vomiting, alongside potential indicators like blurred vision, double vision, and, at times, a gradual loss of peripheral vision. In this research endeavor, we propose a groundbreaking approach that leverages blockchain technology for the precise diagnosis and management of brain tumors.
Copyright
Copyright © 2024 Mrunal Satish Sathe. This is an open access article distributed under the Creative Commons Attribution License.
