Oncology/Hematology

Brain Cancer

Latest AI and machine learning research in brain cancer for healthcare professionals.

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Showing 610-630 of 6,118 articles
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis.

BACKGROUND: Meningioma, the most common primary brain tumor, presents significant challenges in MRI-...

Dec 2024 39777602
A machine learning-assisted systematic review of preclinical glioma modeling: Is practice changing with the times?

BACKGROUND: Despite improvements in our understanding of glioblastoma pathophysiology, there have be...

Dec 2024 39734809
Differentiation of glioblastoma G4 and two types of meningiomas using FTIR spectra and machine learning.

Brain tumors are among the most dangerous, due to their location in the organ that governs all life ...

Dec 2024 39734008
Descriptive overview of AI applications in x-ray imaging and radiotherapy.

Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...

Dec 2024 39681008
Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review.

Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health Organization (WHO...

Dec 2024 39731064
Recent Advances and Future Directions in Sonodynamic Therapy for Cancer Treatment.

Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...

Dec 2024 39735354
Radiomics and deep learning models for glioblastoma treatment outcome prediction based on tumor invasion modeling.

PURPOSE: We investigate the feasibility of using a biophysically guided approach for delineating the...

Dec 2024 39724784
A unified deep-learning framework for enhanced patient-specific quality assurance of intensity-modulated radiation therapy plans.

BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...

Dec 2024 39718209
Ensemble learning-based radiomics model for discriminating brain metastasis from glioblastoma.

OBJECTIVE: Differentiating between brain metastasis (BM) and glioblastoma (GBM) preoperatively is ch...

Dec 2024 39733718
Automated treatment planning with deep reinforcement learning for head-and-neck (HN) cancer intensity modulated radiation therapy (IMRT).

To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...

Dec 2024 39577088
Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions.

OBJECTIVE: This study aims to evaluate the effectiveness of deep learning features derived from mult...

Dec 2024 39716317
Automated Measurement of Effective Radiation Dose by F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography.

BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a signi...

Dec 2024 39728913
CXCL12 impact on glioblastoma cells behaviors under dynamic culture conditions: Insights for developing new therapeutic approaches.

Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival ...

Dec 2024 39715221
VASARI 2.0: a new updated MRI VASARI lexicon to predict grading and status in brain glioma.

INTRODUCTION: Precision medicine refers to managing brain tumors according to each patient's unique ...

Dec 2024 39763601
Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of...

Dec 2024 39705221
Artificial Intelligence-Empowered Multistep Integrated Radiation Therapy Workflow for Nasopharyngeal Carcinoma.

PURPOSE: To establish an artificial intelligence (AI)-empowered multistep integrated (MSI) radiation...

Dec 2024 39708045
Deep learning radiomics nomograms predict Isocitrate dehydrogenase (IDH) genotypes in brain glioma: A multicenter study.

PURPOSE: To explore the feasibility of Deep learning radiomics nomograms (DLRN) in predicting IDH ge...

Dec 2024 39708927
Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks.

Medical image analysis has significantly benefited from advancements in deep learning, particularly ...

Dec 2024 39700855
Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current.

BACKGROUND: The low tube-voltage technique (e.g., 80 kV) can efficiently reduce the radiation dose a...

Dec 2024 39696218
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