Latest AI and machine learning research in brain cancer for healthcare professionals.
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate dia...
BACKGROUND: Long-lasting efforts have been made to reduce radiation dose and thus the potential radi...
PURPOSE: To investigate the application value of support vector machine (SVM) model based on diffusi...
An early detection of lung tumors is critical for better treatment results, and CT scans can reveal ...
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-c...
How to develop contrast agents for cancer theranostics is a meaningful and challenging endeavor, and...
BACKGROUND AND PURPOSE: CT imaging exposes patients to ionizing radiation. MR imaging is radiation f...
In computed tomography (CT) imaging, optimizing the balance between radiation dose and image quality...
Brain tumors pose significant global health concerns due to their high mortality rates and limited t...
Acute radiation dermatitis (ARD) is a common and distressing issue for cancer patients undergoing ra...
OBJECTIVE: Research into the effectiveness and applicability of deep learning, radiomics, and their ...
BACKGROUND: Deep learning reconstruction (DLR) with denoising has been reported as potentially impro...
The integration of morphological attributes extracted from histopathological images and genomic data...
The limited data poses a crucial challenge for deep learning-based volumetric medical image segmenta...
Glioma, a predominant type of brain tumor, can be fatal. This necessitates an early diagnosis and ef...
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-a...
Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat ...
PURPOSE: Recurrence for high-grade gliomas is inevitable despite maximal safe resection and adjuvant...
High-grade glioma (HGG) is an aggressive brain tumor. Sex is an important factor that differentially...
The advent of deep learning (DL) and multimodal spatial transcriptomics (ST) has revolutionized canc...
Transcranial magnetic stimulation (TMS) has emerged as a promising neuromodulation technique with bo...