Cargando…

Multi-task learning-based feature selection and classification models for glioblastoma and solitary brain metastases

PURPOSE: To investigate the diagnostic performance of feature selection via a multi-task learning model in distinguishing primary glioblastoma from solitary brain metastases. METHOD: The study involved 187 patients diagnosed at Xiangya Hospital, Yunnan Provincial Cancer Hospital, and Southern Cancer...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Ya, Huang, Shan, Liu, Zhiyong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533336/ https://www.ncbi.nlm.nih.gov/pubmed/36212457 http://dx.doi.org/10.3389/fonc.2022.1000471

Ejemplares similares

Comparison of Intraoperative Ultrasound B-Mode and Strain Elastography for the Differentiation of Glioblastomas From Solitary Brain Metastases. An Automated Deep Learning Approach for Image Analysis
por: Cepeda, Santiago, et al.
Publicado: (2021)

Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases
por: Meier, Raphael, et al.
Publicado: (2020)

A Deep Multi-Task Learning Framework for Brain Tumor Segmentation
por: Huang, He, et al.
Publicado: (2021)

An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and (18)F-FDG PET Imaging Improves the Performance of Differentiating Glioblastoma From Solitary Brain Metastases
por: Zhang, Liqiang, et al.
Publicado: (2021)

Physiological MRI Biomarkers in the Differentiation Between Glioblastomas and Solitary Brain Metastases
por: Heynold, Elisabeth, et al.
Publicado: (2021)

Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis
por: de Causans, Alix, et al.
Publicado: (2021)

Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma
por: Yang, Yan, et al.
Publicado: (2021)

Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion
por: Zhang, Yu, et al.
Publicado: (2021)

The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases
por: Wu, Wen-Feng, et al.
Publicado: (2022)

The Role of 3D-pCASL MRI in the Differential Diagnosis of Glioblastoma and Brain Metastases
por: Solozhentseva, Kristina, et al.
Publicado: (2022)

Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
por: Qian, Zenghui, et al.
Publicado: (2021)

HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development
por: Huang, Yue, et al.
Publicado: (2023)

Machine Learning and Feature Selection Methods for Disease Classification With Application to Lung Cancer Screening Image Data
por: Delzell, Darcie A. P., et al.
Publicado: (2019)

Potential Applications of Imaging and Image-Guided Radiotherapy for Brain Metastases and Glioblastoma to Improve Patient Quality of Life
por: Nguyen, Nam P., et al.
Publicado: (2013)

Differentiating Glioblastomas from Solitary Brain Metastases: An Update on the Current Literature of Advanced Imaging Modalities
por: Fordham, Austin-John, et al.
Publicado: (2021)

Corrigendum: Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
por: Qian, Zenghui, et al.
Publicado: (2021)

Corrigendum: Machine Learning and Feature Selection Methods for Disease Classification With Application to Lung Cancer Screening Image Data
por: Delzell, Darcie A. P., et al.
Publicado: (2020)

Radiosurgical treatment of solitary brain metastases using virtual cones with a standard multileaf collimator
por: Lobb, Eric
Publicado: (2022)

Bone Metastases of Glioblastoma: A Case Report and Review of the Literature
por: Zhang, Wei, et al.
Publicado: (2021)

Clinical Features, Management, and Prognostic Factors of Intracranial Solitary Fibrous Tumor
por: Liu, Jingdian, et al.
Publicado: (2022)

From Uterus to Brain: An Update on Epidemiology, Clinical Features, and Treatment of Brain Metastases From Gestational Trophoblastic Neoplasia
por: Borella, Fulvio, et al.
Publicado: (2022)

Clinical and CT Radiomics Nomogram for Preoperative Differentiation of Pulmonary Adenocarcinoma From Tuberculoma in Solitary Solid Nodule
por: Zhuo, Yaoyao, et al.
Publicado: (2021)

Moving towards a unified classification of glioblastomas utilizing artificial intelligence and deep machine learning integration
por: Hill, Ciaran Scott, et al.
Publicado: (2023)

Brain metastases: It takes two factors for a primary cancer to metastasize to brain
por: Liu, Dingyun, et al.
Publicado: (2022)

RNA Sequence Profiling Reveals Unique Immune and Metabolic Features of Breast Cancer Brain Metastases
por: Xiao, Limei, et al.
Publicado: (2021)

Differentiating solitary brain metastases from glioblastoma by radiomics features derived from MRI and 18F-FDG-PET and the combined application of multiple models
por: Cao, Xu, et al.
Publicado: (2022)

The value of dual-energy spectral CT in differentiating solitary pulmonary tuberculosis and solitary lung adenocarcinoma
por: Zhang, Guojin, et al.
Publicado: (2022)

Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors
por: Chen, Chaoyue, et al.
Publicado: (2019)

Functional and embedding feature analysis for pan-cancer classification
por: Lu, Jian, et al.
Publicado: (2022)

Deep Learning-Based Classification of Cancer Cell in Leptomeningeal Metastasis on Cytomorphologic Features of Cerebrospinal Fluid
por: Yu, Wenjin, et al.
Publicado: (2022)

Differentiating solitary brain metastases from high-grade gliomas with MR: comparing qualitative versus quantitative diagnostic strategies
por: Voicu, Ioan Paul, et al.
Publicado: (2022)

Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation
por: Ma, Shiqiang, et al.
Publicado: (2021)

Solitary benign metastasizing leiomyoma: imaging features and pathological findings
por: Teixeira, Bernardo Corrêa de Almeida, et al.
Publicado: (2014)

A Rare Manifestation of a Presumed Non-Osteophilic Brain Neoplasm: Extensive Axial Skeletal Metastases From Glioblastoma With Primitive Neuronal Components
por: Rong, Tianhua, et al.
Publicado: (2021)

Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma
por: Li, Chao, et al.
Publicado: (2019)

Blood–brain barrier and brain structural changes in lung cancer patients with non-brain metastases
por: Zhang, Da-Fu, et al.
Publicado: (2022)

Pan-cancer classification by regularized multi-task learning
por: Hossain, Sk Md Mosaddek, et al.
Publicado: (2021)

Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion
por: Wan, Qi, et al.
Publicado: (2021)

Genomic Features of Organ-Specific Metastases in Lung Adenocarcinoma
por: Feng, Alei, et al.
Publicado: (2022)

Brain Tumor Microenvironment and Angiogenesis in Melanoma Brain Metastases
por: Trembath, Dimitri G., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_22lippmapn8f7hsd1gkdg5rtti