Latest AI and machine learning research in brain cancer for healthcare professionals.
Lung malignancies have been extensively characterized through radiomics and deep learning. By provid...
Primary brain tumors including gliomas continue to pose significant management challenges to clinici...
In this paper, we present a new Deep Convolutional Neural Networks (CNNs) dedicated to fully automat...
Mandatory accurate and specific diagnosis demands have brought about increased challenges for radiol...
Gliomas are the most common malignant brain tumors with different grades that highly determine the r...
Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imag...
We present DeepDose, a deep learning framework for fast dose calculations in radiation therapy. Give...
BACKGROUND: Interstitial lung disease requires frequent re-examination, which directly causes excess...
PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, art...
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...
Ontologies are a formal, computer-compatible method for representing scientific knowledge about a gi...
Automatic classification of brain tumor types is very important for accelerating the treatment proce...
In managing a patient with glioblastoma (GBM), a surgeon must carefully consider whether sufficient ...
OBJECTIVES: To assess the diagnostic accuracy of machine learning (ML) in predicting isocitrate dehy...
Background Brain metastases are manually identified during stereotactic radiosurgery (SRS) treatment...
BACKGROUND: Imaging of glioblastoma patients after maximal safe resection and chemoradiation commonl...
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic diagnosis of c...
Artificial intelligence (AI) and machine learning (ML) approaches have caught the attention of many ...
The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optim...
PURPOSE: Limiting the dose to the rectum can be one of the most challenging aspects of creating a do...
BACKGROUND: As artificial intelligence (AI) approaches in research increase and AI becomes more inte...