A review on the recent segmentation and tumor grade classification techniques of brain
Magnetic Resonance (MR) Images is the objective of this paper. The requisite for early …

Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community.
However, despite substantial advances in the theory and applications of FCMs, there is a …

Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …

Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy
specimens today. The current method is invasive, time-consuming and prone to manual …

Brain tumor detection and analysis are necessary for any indicative system and have
testified that exhaustive research and procedural development over time. This work needs to …

Numerous computer-aided diagnosis (CAD) systems have been recently presented in the
history of medical imaging to assist radiologists about their patients. For full assistance of …

A literature review showed that finance is a driver of sustainability. However, to achieve
sustainability through finance, it is necessary to rebuild and adapt the financial system to the …

Brain tumor segmentation consists of separating the different tumor tissues (solid or active
tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM) …

Brain tumor analysis is essential to the timely diagnosis and effective treatment of patients.
Tumor analysis is challenging because of tumor morphology factors like size, location …

Conventional medical imaging and machine learning techniques are not perfect enough to
correctly segment the brain tumor in MRI as the proper identification and segmentation of …