Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics

G Hajianfar, A Haddadi Avval, SA Hosseini… - La radiologia …, 2023‏ - Springer
Abstract Purpose Glioblastoma Multiforme (GBM) represents the predominant aggressive
primary tumor of the brain with short overall survival (OS) time. We aim to assess the …

Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A sco** review

J Adeoye, A Akinshipo, M Koohi-Moghadam… - Frontiers in …, 2022‏ - frontiersin.org
Background The impact and utility of machine learning (ML)-based prediction tools for
cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision …

Machine Learning in Magnetic Resonance Images of Glioblastoma: A Review

G Waldo-Benítez, LC Padierna, P Cerón… - Current Medical …, 2024‏ - benthamdirect.com
Background: The purpose of this work was to identify which Glioblastoma (GBM) problems
can be handled by Magnetic Resonance Imaging (MRI) and Machine Learning (ML) …

Machine Learning Algorithms for Radiogenomics: Application to Prediction of the MGMT promoter methylation status in mpMRI scans

M Karami - 2022‏ - webthesis.biblio.polito.it
Glioblastomas are the most aggressive and destructive forms of solid brain tumors of the
central nervous system. Despite aggressive multimodal treatment approaches, the overall …

Survival and grade of the glioma prediction using transfer learning

SV Rubio, MT García-Ordás, OGO Olivera… - PeerJ Computer …, 2023‏ - peerj.com
Glioblastoma is a highly malignant brain tumor with a life expectancy of only 3–6 months
without treatment. Detecting and predicting its survival and grade accurately are crucial. This …

Predictive value of MRI features on glioblastoma

X Ma, J Liu - European Radiology, 2023‏ - Springer
Glioblastoma multiforme (GBM) is the most common primary intracranial malignancy, and its
treatment is a global challenge [1]. Its low survival rate and high recurrence rate bring great …

Radiomics in IOERT of Unilateral Breast Cancer as a Biological Dosimetry.

Z Bagherpour, M Enferadi, R Reiazi… - Iranian Journal of …, 2022‏ - search.ebscohost.com
Abstract Introduction: In this study, Radiomic features analysis of CT scan images of the
irradiated breast compared to the contralateral breast after a 12 Gy boost radiation dose in …