From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Y Guo, T Li, B Gong, Y Hu, S Wang, L Yang… - Advanced …, 2024 - Wiley Online Library
With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …
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 …
pediatric population because of their relatively high frequency in this demographic and the …
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning
Purpose To develop and externally test a scan-to-prediction deep learning pipeline for
noninvasive, MRI-based BRAF mutational status classification for pediatric low-grade …
noninvasive, MRI-based BRAF mutational status classification for pediatric low-grade …
[HTML][HTML] Deep learning in pediatric neuroimaging
The integration of deep learning techniques in pediatric neuroimaging has shown significant
promise in advancing various aspects of the field. This paper provides a comprehensive …
promise in advancing various aspects of the field. This paper provides a comprehensive …
Classification of cancer genome atlas glioblastoma multiform (tcga-gbm) using machine learning method
RE Al Mamlook, A Nasayreh… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Glioblastoma multiforme (GBM) is a highly ma-lignant type of brain cancer with a bleak
prognosis. This study aimed to apply machine learning methods to classify GBM samples …
prognosis. This study aimed to apply machine learning methods to classify GBM samples …
Novel Imaging Approaches for Glioma Classification in the Era of the World Health Organization 2021 Update: A Scoping Review
V Richter, U Ernemann, B Bender - Cancers, 2024 - mdpi.com
Simple Summary The 2021 WHO classification of central nervous system (CNS) tumors is
challenging for neuroradiologists due to the central role of the molecular profile of tumors …
challenging for neuroradiologists due to the central role of the molecular profile of tumors …
Tumor-location-guided cnns for pediatric low-grade glioma molecular biomarker classification using mri
Pediatric low-grade glioma (pLGG) is the most common type of brain cancer among
children, and the identification of molecular markers for pLGG is crucial for successful …
children, and the identification of molecular markers for pLGG is crucial for successful …
Diffusion kurtosis imaging‐based habitat analysis identifies high‐risk molecular subtypes and heterogeneity matching in diffuse gliomas
X Yang, W Niu, K Wu, X Li, H Hou, Y Tan… - Annals of Clinical …, 2024 - Wiley Online Library
Objective High‐risk types of diffuse gliomas in adults include isocitrate dehydrogenase (IDH)
wild‐type glioblastomas and grade 4 astrocytomas. Achieving noninvasive prediction of high …
wild‐type glioblastomas and grade 4 astrocytomas. Achieving noninvasive prediction of high …
Advanced imaging techniques and non-invasive biomarkers in pediatric brain tumors: state of the art
CG Iacoban, A Ramaglia, M Severino, D Tortora… - Neuroradiology, 2024 - Springer
In the pediatric age group, brain neoplasms are the second most common tumor category
after leukemia, with an annual incidence of 6.13 per 100,000. Conventional MRI sequences …
after leukemia, with an annual incidence of 6.13 per 100,000. Conventional MRI sequences …
Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumours Molecular Subtype Identification Using MRI-based 3D Probability Distributions of Tumour …
Purpose: Pediatric low-grade gliomas (pLGG) are the most common brain tumour in
children, and the molecular diagnosis of pLGG enables targeted treatment. We use MRI …
children, and the molecular diagnosis of pLGG enables targeted treatment. We use MRI …