Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...
BACKGROUND AND AIMS: Accurately diagnosing malignant biliary strictures (MBSs) as benign or malignan...
Rectal cancer (RC) accounts for approximately one-third of colorectal cancer (CRC), with death rates...
The primary purpose of cancer treatment with irreversible electroporation (IRE) is to maximize tumor...
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool ...
Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence (AI) ...
Gene Expression Data is the biological data to extract meaningful hidden information from the gene d...
In this study, we tested and compared radiomics and deep learning-based approaches on the public LUN...
BACKGROUND: Cuproptosis is a recently found non-apoptotic cell death type that holds promise as an e...
BACKGROUND: Whole-body low-dose CT is the recommended initial imaging modality to evaluate bone dest...
Brain tumor has the foremost distinguished etiology of high morality. Neoplasm, a categorization of ...
Breast cancer is the most commonly diagnosed female malignancy globally, with better survival rates ...
For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are...
Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers i...
PURPOSE: To develop a novel multimodal data fusion model by incorporating computed tomography (CT) i...
RNA-Seq has made significant contributions to various fields, particularly in cancer research. Recen...
Cellular senescence is an important factor in aging and many age-related diseases, but understanding...
Tumor segmentation is a fundamental task in histopathological image analysis. Creating accurate pixe...
Machine learning (ML) algorithms are becoming increasingly pervasive in the domains of medical diagn...
The cell cycle is composed of a series of ordered, highly regulated processes through which a cell g...
To study the effect of computerized tomography (CT) images based on deep learning algorithms on the ...