Latest AI and machine learning research in other cancers for healthcare professionals.
With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, la...
Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alter...
Integrins, a family of transmembrane receptor proteins, are well known to play important roles in ca...
BACKGROUND: Brain tumor classification from magnetic resonance (MR) images is crucial for early diag...
Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage det...
Large language models (LLMs) hold significant promise in the field of medical diagnosis. There are s...
We developed an automatic method based on a convolutional neural network (CNN) that identifies metas...
BACKGROUND: Screening of malignant hematological diseases is of great importance for their diagnosis...
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...
Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look simila...
OBJECTIVES: To develop and validate an interpretable and generalized machine learning model using MR...
Deformable registration between brain tumor images and brain atlas has been an important tool to fac...
BACKGROUND AND OBJECTIVE: Although deep learning-based intelligent diagnosis of bladder cancer has a...
Accurate diagnosis is essential for effective cancer treatment, particularly in peritoneal surface m...
Colorectal cancer (CRC) is a major cause of cancer-related mortality, highlighting the need for accu...
BACKGROUND: Diagnosing and managing follicular thyroid neoplasms (FTNs) remains a significant challe...
Local recurrences (LR) can occur within residual breast tissue, chest wall, skin, or newly formed sc...
Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been int...
Ensemble learning can effectively mitigate the risk of model overfitting during training. This study...
Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding s...
Although deep learning algorithms have proven their efficiency in automatic sleep staging, their "bl...