Latest AI and machine learning research in other cancers for healthcare professionals.
Automatic segmentation of glioma and its subregions is of great significance for diagnosis, treatmen...
BACKGROUND: Soft tissue sarcoma is a rare and highly heterogeneous tumor in clinical practice. Patho...
OBJECTIVES: The tumor microenvironment (TME) consists of cellular and noncellular components which e...
INTRODUCTION: Microvascular invasion (MVI) is a known risk factor for prognosis after R0 liver resec...
In nonclinical toxicity studies, stage-aware evaluation is often expected to assess drug-induced tes...
Colon cancer is a momentous reason for illness and death in people. The conclusive diagnosis of colo...
BACKGROUND: Accurate and automated brain tumor segmentation from multi-modality MR images plays a si...
Hematologic malignancies are model diseases for understanding neoplastic transformation and serve as...
Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging....
BACKGROUND: Urine cytology is commonly used as a screening test for high-grade urothelial carcinoma ...
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...
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool ...
BACKGROUND: Cuproptosis is a recently found non-apoptotic cell death type that holds promise as an e...
Brain tumor has the foremost distinguished etiology of high morality. Neoplasm, a categorization of ...
For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are...
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...