Oncology/Hematology

Brain Cancer

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

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Showing 1408-1428 of 7,036 articles
Fractionated stereotactic radiation therapy for vestibular schwannomas: Dosimetric factors predictive of hearing outcomes.

PURPOSE: To determine dosimetric factors predictive of hearing loss in vestibular schwannoma (VS) pa...

Image Guided Hypofractionated Postprostatectomy Intensity Modulated Radiation Therapy for Prostate Cancer.

PURPOSE: Hypofractionated radiation therapy (RT) has promising long-term biochemical relapse-free su...

Radioprotective Effects of Amifostine and Lycopene on Human Peripheral Blood Lymphocytes In Vitro.

BACKGROUND: Radiation protection is a pivotal challenge for radiation workers employed in medical fi...

Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curve...

Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping.

BACKGROUND: Many supervised learning algorithms have been applied in deriving gene signatures for pa...

eNAL++: a new and effective off-line correction protocol for rotational setup errors when using a robotic couch.

Cone-beam CTs (CBCTs) installed on a linear accelerator can be used to provide fast and accurate aut...

Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

BACKGROUND: CT of pediatric phantoms can provide useful guidance to the optimization of knowledge-ba...

Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.

Brain glioma is the most common primary malignant brain tumors in adults with different pathologic s...

Toward Standardized Acoustic Radiation Force (ARF)-Based Ultrasound Elasticity Measurements With Robotic Force Control.

OBJECTIVE: Acoustic radiation force (ARF)-based approaches to measure tissue elasticity require tran...

Modulatory role of garlicin in migration and invasion of intrahepatic cholangiocarcinoma via PI3K/AKT pathway.

Increasing evidences have indicated the role of garlicin in inhibiting the progression of various tu...

Intrawound Vancomycin Powder for Spine Tumor Surgery.

Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infecti...

A support vector machine tool for adaptive tomotherapy treatments: Prediction of head and neck patients criticalities.

PURPOSE: Adaptive radiation therapy (ART) is an advanced field of radiation oncology. Image-guided r...

Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

PURPOSE: To develop a classification model using texture features and support vector machine in cont...

A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applications.

During radiotherapy treatment for thoracic and abdomen cancers, for example, lung cancers, respirato...

da Vinci robot-assisted keyhole neurosurgery: a cadaver study on feasibility and safety.

The goal of this cadaver study was to evaluate the feasibility and safety of da Vinci robot-assisted...

Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence.

In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) a...

A generic support vector machine model for preoperative glioma survival associations.

PURPOSE: To develop a generic support vector machine (SVM) model by using magnetic resonance (MR) im...

Resting state fMRI feature-based cerebral glioma grading by support vector machine.

PURPOSE : Tumor grading plays an essential role in the optimal selection of solid tumor treatment. N...

A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours.

Tissue texture is known to exhibit a heterogeneous or non-stationary nature; therefore using a singl...

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