Cargando…

Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis

OBJECTIVE: The purpose of this study was to investigate the feasibility of applying handcrafted radiomics (HCR) and deep learning-based radiomics (DLR) for the accurate preoperative classification of glioblastoma (GBM) and solitary brain metastasis (BM). METHODS: A retrospective analysis of the magn...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Zhiyuan, Jiang, Zekun, Meng, Li, Yang, Jun, Liu, Ying, Zhang, Yingying, Peng, Haiqin, Li, Jiahui, Xiao, Gang, Zhang, Zijian, Zhou, Rongrong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195660/ https://www.ncbi.nlm.nih.gov/pubmed/34188680 http://dx.doi.org/10.1155/2021/5518717

Ejemplares similares

Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics
por: Keek, Simon A., et al.
Publicado: (2022)

Deep Learning and Handcrafted Features for Virus Image Classification
por: Nanni, Loris, et al.
Publicado: (2020)

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification
por: Loddo, Andrea, et al.
Publicado: (2021)

CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features
por: Refaee, Turkey, et al.
Publicado: (2022)

Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features
por: Yang, Xiaojun, et al.
Publicado: (2020)

Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning
por: Refaee, Turkey, et al.
Publicado: (2022)

Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
por: Rodrigues, Ana, et al.
Publicado: (2023)

Deep versus Handcrafted Tensor Radiomics Features: Prediction of Survival in Head and Neck Cancer Using Machine Learning and Fusion Techniques
por: Salmanpour, Mohammad R., et al.
Publicado: (2023)

MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features
por: Ibrahim, Abdalla, et al.
Publicado: (2022)

Early prediction of sepsis using double fusion of deep features and handcrafted features
por: Duan, Yongrui, et al.
Publicado: (2023)

A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis
por: Refaee, Turkey, et al.
Publicado: (2022)

Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning
por: Mogan, Jashila Nair, et al.
Publicado: (2022)

Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features
por: Côté-Allard, Ulysse, et al.
Publicado: (2020)

Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features
por: Daoud, Mohammad I., et al.
Publicado: (2020)

Kinship verification and recognition based on handcrafted and deep learning feature-based techniques
por: Nader, Nermeen, et al.
Publicado: (2021)

Handcrafted CSS: more bulletproof web design
por: Cederholm, Dan, et al.
Publicado: (2010)

Feature Fusion of Deep Spatial Features and Handcrafted Spatiotemporal Features for Human Action Recognition
por: Uddin, Md Azher, et al.
Publicado: (2019)

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
por: Malekzadeh, Anis, et al.
Publicado: (2021)

Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition
por: Bento, Nuno, et al.
Publicado: (2022)

Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features
por: Bo, Linlin, et al.
Publicado: (2021)

Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features
por: Kadry, Seifedine, et al.
Publicado: (2022)

Framework to Detect Schizophrenia in Brain MRI Slices with Mayfly Algorithm-Selected Deep and Handcrafted Features
por: Manic, K. Suresh, et al.
Publicado: (2022)

Real-Time Automated Solubility Screening Method Using Deep Neural Networks with Handcrafted Features
por: Jeon, Minwoo, et al.
Publicado: (2023)

Clinical value of a plasma Epstein–Barr virus DNA assay in the diagnosis of recurrent or metastatic nasopharyngeal carcinoma: a meta-analysis
por: Peng, Haiqin, et al.
Publicado: (2019)

Deep Learning Can Differentiate IDH-Mutant from IDH-Wild GBM
por: Pasquini, Luca, et al.
Publicado: (2021)

Structural Anomalies Detection from Electrocardiogram (ECG) with Spectrogram and Handcrafted Features
por: Li, Hongzu, et al.
Publicado: (2022)

Patch Attention Layer of Embedding Handcrafted Features in CNN for Facial Expression Recognition
por: Liang, Xingcan, et al.
Publicado: (2021)

HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features
por: Alkinani, Monagi H., et al.
Publicado: (2022)

AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification
por: Albahli, Saleh, et al.
Publicado: (2022)

Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
por: Bae, Sohi, et al.
Publicado: (2020)

Bone marrow lesions of the femoral head: can radiomics distinguish whether it is reversible?
por: Batur, Halitcan, et al.
Publicado: (2023)

Ear Reconstruction Simulation: From Handcrafting to 3D Printing
por: Mussi, Elisa, et al.
Publicado: (2019)

This is a handcraft: valuation, morality, and the social meanings of payments for psychoanalysis
por: Fridman, Daniel
Publicado: (2021)

Benign and Malignant Breast Tumor Classification in Ultrasound and Mammography Images via Fusion of Deep Learning and Handcraft Features
por: Cruz-Ramos, Clara, et al.
Publicado: (2023)

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
por: Bakas, Spyridon, et al.
Publicado: (2022)

Radiomics for Predicting Response of Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis
por: Yang, Chao, et al.
Publicado: (2022)

A radiomics model can distinguish solitary pulmonary capillary haemangioma from lung adenocarcinoma
por: Wang, Hao-Jen, et al.
Publicado: (2021)

Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures
por: Almaraz-Damian, Jose-Agustin, et al.
Publicado: (2020)

Biomimetic GBM-targeted drug delivery system boosting ferroptosis for immunotherapy of orthotopic drug-resistant GBM
por: Liu, Bao, et al.
Publicado: (2022)

Advances in nanotechnology for the treatment of GBM
por: Wei, Dongyan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_tp4nal09eulum0eo69d9i63554