Latest AI and machine learning research in colon cancer for healthcare professionals.
Colorectal polyps are structural abnormalities of the gastrointestinal tract that can potentially ...
Colorectal cancer is a prevalent form of cancer, and many patients develop colorectal cancer liver...
In medical imaging, efficient segmentation of colon polyps plays a pivotal role in minimally invas...
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently compli...
Convolutional neural networks (CNNs) are well established in handling local features in visual tasks...
OBJECTIVE: To investigate the value of prediction of the differentiation level in lung adenocarcinom...
Currently, eight million people in the United States suffer from cancer and it is a major global hea...
Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognosti...
EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection meth...
To explore the value of the artificial intelligence (AI)-assisted recognition system in the detecti...
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a...
Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal...
Quantum Machine Learning (QML) is a red-hot field that brings novel discoveries and exciting oppor...
Videos can be an effective way to deliver contextualized, just-in-time medical information for pat...
BACKGROUND: The histological subtype of lung adenocarcinoma is a major prognostic factor. We develop...
BACKGROUND AND AIMS: The resect-and-discard strategy for colorectal polyps based on accurate optical...
BACKGROUND: Several ablation confirmation software methods for minimum ablative margin assessment ha...
Colorectal cancer (CRC) is a common malignant tumor that seriously threatens human health. CRC prese...
The potential of serum extracellular vesicles (EVs) as non-invasive biomarkers for diagnosing colore...
Cancer is a highly heterogeneous disease with significant variability in molecular features and cl...
Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth percep...