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A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022
Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Ravipudi Venkata Rao Narayana, Yu-Dong Zhang, Pallikonda Rajasekaran Murugan, Karunanithi Kandasamy, Khurram Ejaz
Figure 6 shows the segmented regions of WM, GM and CSF by the JA-FCM algorithm. The input image used in this study is collected from the patient of age 3 impacted by a high-grade Supratentorial Primitive Neuro-Ectodermal Tumour. The Supratentorial PNET are the embryonic tumours arising above the tentorium layer and affect the cerebrum region of the brain, whereas the Infratentorial PNET, also called medulloblastoma, occurs in the cerebellum below the tentorium. High dense oedema region with low-intensity variations can be seen in the image, and even then, the final segmented results suggest that the recommended algorithm gives accurate detection of widespread tumour region and superior segmentation of CSF, WM and GM.