A Fast and Efficient Semi-Unsupervised Segmentation and Feature-Extraction Methodology for Artificial Intelligence and Radiomics Applications: A Preliminary Study Applied to Glioblastoma

A Fast and Efficient Semi-Unsupervised Segmentation and Feature-Extraction Methodology for Artificial Intelligence and Radiomics Applications: A Preliminary Study Applied to Glioblastoma

Brain tumors are pathologies characterized by a high degree of mortality. An early diagnosis of these pathologies could reduce mortality and limit the adverse effects of brain surgery. Computer-aided tomography (CT), and magnetic resonance imaging (MRI) are fundamental diagnostic methods. They offer...

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Bibliographic Details
Main Authors: Giuseppe Espa, Paola Feraco, Massimo Donelli, Irene Dal Chiele
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Electronics
Subjects:
brain tumors
tumors segmentation
features extraction
artificial intelligence AI
magnetic resonance imaging (MRI)
radiomics
Online Access:https://www.mdpi.com/2079-9292/12/5/1230

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