Cargando…

Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation

Neurodegenerative diseases are frequently associated with structural changes in the brain. Magnetic resonance imaging (MRI) scans can show these variations and therefore can be used as a supportive feature for a number of neurodegenerative diseases. The hippocampus has been known to be a biomarker f...

Descripción completa

Detalles Bibliográficos
Autores principales:	Tangaro, Sabina, Amoroso, Nicola, Brescia, Massimo, Cavuoti, Stefano, Chincarini, Andrea, Errico, Rosangela, Inglese, Paolo, Longo, Giuseppe, Maglietta, Rosalia, Tateo, Andrea, Riccio, Giuseppe, Bellotti, Roberto
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450305/ https://www.ncbi.nlm.nih.gov/pubmed/26089977 http://dx.doi.org/10.1155/2015/814104

Ejemplares similares

Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm
por: Maglietta, Rosalia, et al.
Publicado: (2015)

Shannon entropy approach reveals relevant genes in Alzheimer’s disease
por: Monaco, Alfonso, et al.
Publicado: (2019)

Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
por: Amoroso, Nicola, et al.
Publicado: (2018)

Detection of Hippocampal Subfield Asymmetry at 7T With Automated Segmentation in Epilepsy Patients With Normal Clinical Strength MRIs
por: Pai, Akila, et al.
Publicado: (2021)

Automated multiclass tissue segmentation of clinical brain MRIs with lesions
por: Weiss, David A., et al.
Publicado: (2021)

Automatic breast lesion segmentation in phase preserved DCE-MRIs
por: Pandey, Dinesh, et al.
Publicado: (2022)

Automatic and fast segmentation of breast region-of-interest (ROI) and density in MRIs
por: Pandey, Dinesh, et al.
Publicado: (2018)

Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs
por: Huang, Xiaona, et al.
Publicado: (2023)

Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality
por: Amoroso, Nicola, et al.
Publicado: (2022)

Salient networks: a novel application to study Alzheimer disease
por: Amoroso, Nicola, et al.
Publicado: (2018)

Mini Review: Deep Learning for Atrial Segmentation From Late Gadolinium-Enhanced MRIs
por: Jamart, Kevin, et al.
Publicado: (2020)

The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs
por: Kessler, Dimitri A., et al.
Publicado: (2020)

An equity-oriented rethink of global rankings with complex networks mapping development
por: Bellantuono, Loredana, et al.
Publicado: (2020)

Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction
por: Lombardi, Angela, et al.
Publicado: (2020)

Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019
por: Lombardi, Angela, et al.
Publicado: (2021)

Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs
por: Abdullah, Bassem A, et al.
Publicado: (2012)

Automatic brain lesion segmentation on standard MRIs of the human head: a scoping review protocol
por: Gryska, Emilia Agnieszka, et al.
Publicado: (2019)

Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIs
por: Rajapaksa, Sajith, et al.
Publicado: (2022)

Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer’s disease
por: Rasero, Javier, et al.
Publicado: (2017)

An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease
por: Amoroso, Nicola, et al.
Publicado: (2023)

Potential energy of complex networks: a quantum mechanical perspective
por: Amoroso, Nicola, et al.
Publicado: (2020)

Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework
por: Bellantuono, Loredana, et al.
Publicado: (2022)

Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis
por: Bellantuono, Loredana, et al.
Publicado: (2022)

A complex network approach reveals a pivotal substructure of genes linked to schizophrenia
por: Monaco, Alfonso, et al.
Publicado: (2018)

Automatic biometry of fetal brain MRIs using deep and machine learning techniques
por: She, Jiayan, et al.
Publicado: (2023)

SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
por: Atlason, Hans E., et al.
Publicado: (2019)

Multiplex Networks for Early Diagnosis of Alzheimer's Disease
por: Amoroso, Nicola, et al.
Publicado: (2018)

An Ensemble Model for the Diagnosis of Brain Tumors through MRIs
por: Ghafourian, Ehsan, et al.
Publicado: (2023)

A primer on machine learning techniques for genomic applications
por: Monaco, Alfonso, et al.
Publicado: (2021)

Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer’s Disease
por: Lella, Eufemia, et al.
Publicado: (2019)

Explainable Deep Learning for Personalized Age Prediction With Brain Morphology
por: Lombardi, Angela, et al.
Publicado: (2021)

A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs
por: Gadewar, Shruti P., et al.
Publicado: (2023)

TROCHLEAR MORPHOLOGY DEVELOPMENT: STUDY OF NORMAL PEDIATRIC KNEE MRIS
por: Trivellas, Myra, et al.
Publicado: (2020)

Automatic comprehensive aspects reports in clinical acute stroke MRIs
por: Liu, Chin-Fu, et al.
Publicado: (2023)

Automatic comprehensive radiological reports for clinical acute stroke MRIs
por: Liu, Chin-Fu, et al.
Publicado: (2023)

Association between Structural Connectivity and Generalized Cognitive Spectrum in Alzheimer’s Disease
por: Lombardi, Angela, et al.
Publicado: (2020)

Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach
por: Pontillo, Giuseppe, et al.
Publicado: (2022)

Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model
por: Rezaeijo, Seyed Masoud, et al.
Publicado: (2022)

A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies
por: Donadio, Carlo, et al.
Publicado: (2021)

Machine learning reveals that prolonged exposure to air pollution is associated with SARS-CoV-2 mortality and infectivity in Italy()
por: Cazzolla Gatti, Roberto, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_3o36e55i080m9cjmsttb0vo7tu