1. Application of firefly algorithm in automatic extraction of brain tumor from multi-modality magnetic resonance images

Hayneh Fathi-Sanghari; Neda Behzadfar

Articles in Press, Accepted Manuscript, Available Online from 18 August 2021

Abstract
  In this paper, an automated method for identifying the overall range of the tumor and extracting the starting point of brain tumors in Magnetic Resonance Imaging is presented. In this study, images of patients with glioblastoma multiforme were used. By first combining the features of the four MRI modalities, ...  Read More

2. Diagnosis of Brain Tumor Position in Magnetic Resonance Images by Combining Bounding Box Algorithms, Artificial Bee Colonies and Grow Cut

Mahdi Shafiof; Neda Behzadfar

Articles in Press, Accepted Manuscript, Available Online from 15 October 2021

Abstract
  Tumor detection and isolation in magnetic resonance imaging (MRI) is a significant consideration, but when done manually by people, it is very time consuming and may not be accurate. Also, the appearance of the tumor tissue varies from patient to patient, and there are similarities between the tumor ...  Read More