Latest AI and machine learning research in brain cancer for healthcare professionals.
Ovarian cancer is one of the gynecological cancer types, which, if metastasized and not detected ear...
Background and Objectives Preoperative prediction of functional outcomes in contrast-enhancing gliom...
Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resectio...
Skull-base meningiomas are often characterized by favorable long-term prognosis, yet their anatomica...
Gliomas are aggressive primary brain tumors that necessitate critical molecular biomarker prediction...
Extracellular vesicles are increasingly recognized as important carriers of disease-associated molec...
Brain tumors represent one of the most critical neurological conditions, where early and accurate di...
MRI is preferred over CT in paediatric imaging because it avoids ionising radiation, but its use in ...
Accurate automatic brain tumor segmentation in Low and Middle-Income (LMIC) countries is challenging...
Background. Adult diffuse glioma is a representative class of primary brain tumors for which accurat...
The classification of pediatric brain tumors is investigated using deep learning on hematoxylin and ...
Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells....
Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is ...
Glioma is a harmful brain tumor that requires early detection to ensure better health results. Early...
We propose a geometric framework for longitudinal multi-parametric MRI analysis based on patient-spe...
Background Cardiovascular adverse events (CVAEs) after chemoradiotherapy (CRT) for lung cancer are m...
Purpose: To develop a deep neural network-based, AIF-free, perfusion estimation method (QTMnet) for ...
Purpose: Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-rel...
In complex environments, infrared object detection exhibits broad applicability and stability across...
Medical AI systems face two fundamental limitations. First, conventional vision-language models (VLM...
Computer-aided segmentation of brain tumors from MRI data is of crucial significance to clinical dec...