Artificial intelligence and machine learning for medical imaging: A technology review

A Barragán-Montero, U Javaid, G Valdés, D Nguyen… - Physica Medica, 2021 - Elsevier
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Radiomics and radiogenomics in pediatric neuro-oncology: a review

R Madhogarhia, D Haldar, S Bagheri… - Neuro-Oncology …, 2022 - academic.oup.com
The current era of advanced computing has allowed for the development and
implementation of the field of radiomics. In pediatric neuro-oncology, radiomics has been …

Posterior fossa tumors in children: current insights

C Formentin, AF Joaquim, E Ghizoni - European journal of pediatrics, 2023 - Springer
While in adults most intracranial tumors develop around the cerebral hemispheres, 45 to
60% of pediatric lesions are found in the posterior fossa, although this anatomical region …

Advanced neuroimaging approaches to pediatric brain tumors

RM Nikam, X Yue, G Kaur, V Kandula, A Khair… - Cancers, 2022 - mdpi.com
Simple Summary After leukemias, brain tumors are the most common cancers in children,
and early, accurate diagnosis is critical to improve patient outcomes. Beyond the …

Radiomics and artificial intelligence applications in pediatric brain tumors

F Pacchiano, M Tortora, C Doneda, G Izzo… - World Journal of …, 2024 - Springer
Background The study of central nervous system (CNS) tumors is particularly relevant in the
pediatric population because of their relatively high frequency in this demographic and the …

Application of apparent diffusion coefficient histogram metrics for differentiation of pediatric posterior fossa tumors: a large retrospective study and brief review of …

FG Gonçalves, A Zandifar, JD Ub Kim… - Clinical …, 2022 - Springer
Purpose This study aimed to evaluate the application of apparent diffusion coefficient (ADC)
histogram analysis to differentiate posterior fossa tumors (PFTs) in children. Methods A total …

Meta‐Analysis of Apparent Diffusion Coefficient in Pediatric Medulloblastoma, Ependymoma, and Pilocytic Astrocytoma

RJ Dury, A Lourdusamy, DC Macarthur… - Journal of Magnetic …, 2022 - Wiley Online Library
Background Medulloblastoma, ependymoma, and pilocytic astrocytoma are common
pediatric posterior fossa tumors. These tumors show overlapping characteristics on …

European Society for Paediatric Oncology (SIOPE) MRI guidelines for imaging patients with central nervous system tumours

S Avula, A Peet, G Morana, P Morgan… - Child's Nervous …, 2021 - Springer
Introduction Standardisation of imaging acquisition is essential in facilitating multicentre
studies related to childhood CNS tumours. It is important to ensure that the imaging protocol …

Classification of liver lesions in CT images based on LivlesioNet, modified Multi-Scale CNN with bridge Scale method

KK Gedeon, Z Liu - Multimedia Tools and Applications, 2024 - Springer
Liver cancer is one of main origins of death worldwide, and it is the second frequent cause of
cancer-related deaths from men and the sixth from women. Deep learning techniques, and …

MRI-based whole-tumor radiomics to classify the types of pediatric posterior fossa brain tumor

S Wang, G Wang, W Zhang, J He, W Sun, M Yang… - Neurochirurgie, 2022 - Elsevier
Background Differential diagnosis between medulloblastoma (MB), ependymoma (EP) and
astrocytoma (PA) is important due to differing medical treatment strategies and predicted …