Oncology/Hematology

Brain Cancer

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

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Showing 1345-1365 of 7,013 articles
Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF.

This work proposed a novel automatic three-dimensional (3D) magnetic resonance imaging (MRI) segment...

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.

Machine learning applications for personalized medicine are highly dependent on access to sufficient...

Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymp...

[Artificial intelligence applied to radiation oncology].

Performing randomised comparative clinical trials in radiation oncology remains a challenge when new...

A neural controller for online laser power adjustment during the heat therapy process in the presence of nanoparticles.

The present research evaluated the efficiency of a control approach to control the temperature of a ...

Classification of High-Grade Glioma into Tumor and Nontumor Components Using Support Vector Machine.

BACKGROUND AND PURPOSE: Current imaging assessment of high-grade brain tumors relies on the Response...

Expert system classifier for adaptive radiation therapy in prostate cancer.

A classifier-based expert system was developed to compare delivered and planned radiation therapy in...

RABiT-II: Implementation of a High-Throughput Micronucleus Biodosimetry Assay on Commercial Biotech Robotic Systems.

We demonstrate the use of high-throughput biodosimetry platforms based on commercial high-throughput...

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma.

BACKGROUND: We have identified molecules that exhibit synthetic lethality in cells with loss of the ...

Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets.

The ecological effects of accidental or malicious radioactive contamination are insufficiently under...

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma.

BACKGROUND AND OBJECTIVE: The O-methylguanine-DNA-methyltransferase (MGMT) promoter methylation has ...

Evaluation of topical bevacizumab as an adjunct to mitomycin C augmented trabeculectomy.

PURPOSE: To investigate the safety and synergistic effect of topical bevacizumab after trabeculectom...

Impact of robotics and a suspended lead suit on physician radiation exposure during percutaneous coronary intervention.

BACKGROUND: Reports of left-sided brain malignancies among interventional cardiologists have heighte...

Enhanced photostability, radical scavenging and antitumor activity of indole-3-carbinol-loaded rose hip oil nanocapsules.

This study aimed to develop poly(ε-caprolactone) nanocapsules loaded with indole-3-cabinol (I3C) usi...

Cancer Care Access and Outcomes for American Indian Populations in the United States: Challenges and Models for Progress.

Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) i...

Exploring Value From the Patient's Perspective Between Modern Radiation Therapy Modalities for Localized Prostate Cancer.

PURPOSE: Patients' perspectives on their treatment experiences have not been compared between modern...

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