Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: Central lymph node metastasis (CLNM) is a predictor of poor prognosis for papillary thyro...
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past decade...
OBJECTIVE: The blood flow in lymph nodes reflects important pathological features. However, most int...
Primary liver cancer, with the predominant form as hepatocellular carcinoma (HCC), remains a worldwi...
This article investigates optimal regulation scheme between tumor and immune cells based on the adap...
BACKGROUND: A significant number of tongue squamous cell carcinoma (TSCC) patients are diagnosed at ...
OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocell...
Lung cancer is one of the most common causes of cancer deaths in the modern world. Screening of lung...
This paper introduces the adaptive fuzzy control scheme as a promising control technique for cancer ...
OBJECTIVE: To compare the tumor control in prostate cancer patients with oligo-metastasis following ...
BACKGROUND : Deep learning models have previously been established to predict the histopathology and...
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary...
Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is impor...
OBJECTIVE: Molecular subtyping is an important procedure for prognosis and targeted therapy of breas...
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indicat...
Multi-view classification with limited sample size and data augmentation is a very common machine le...
With the rapid development of edge intelligence (EI) and machine learning (ML), the applications of ...
Sleep staging is an essential component in the diagnosis of sleep disorders and management of sleep ...
Screening of lymph node metastases in colorectal cancer (CRC) can be a cumbersome task, but it is am...
Segmentation of rectal cancerous regions from Magnetic Resonance (MR) images can help doctor define ...
Tumor burden assessment by magnetic resonance imaging (MRI) is central to the evaluation of treatmen...