Latest AI and machine learning research in brain cancer for healthcare professionals.
Based on observed meteorological elements, photolysis rates (J-values) and pollutant concentrations,...
BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and...
This study presents a convolutional neural network (CNN)-based approach for the multi-class classi...
Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...
Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...
Malignant gliomas (MGs), particularly glioblastoma, are among the most aggressive brain tumors, wi...
Radiometers are crucial instruments in radio astronomy, forming the primary component of nearly al...
PURPOSE: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial da...
Efficiently acquired and precisely reconstructed imaging are crucial to the success of modern radi...
Computed tomography (CT) examination poses radiation injury to patient. A consensus performing CT ...
DNA methylation is an epigenetic mechanism that regulates gene expression by adding methyl groups ...
Cancer remains one of the leading causes of mortality worldwide, necessitating accurate diagnosis ...
BACKGROUND AND PURPOSE: We aimed to develop a physics-informed deep learning model for beam dose pre...
Accurate and quick diagnosis of normal brain tissue Glioma, Meningioma, and Pituitary Tumors is cr...
Accurate segmentation of glioma brain tumors is crucial for diagnosis and treatment planning. Deep...
Segmenting healthy tissue structures alongside lesions in brain Magnetic Resonance Images (MRI) re...
The reliance on radiation-hardened hardware, essential for domains requiring high-dependability su...
Efficient modal feature fusion strategy is the key to achieve accurate segmentation of brain gliom...
Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The comp...
Computed tomography (CT)-guided needle biopsies are critical for diagnosing a range of conditions,...
This research proposes a very lightweight model "Fibonacci-Net" along with a novel pooling techniq...