Latest AI and machine learning research in colon cancer for healthcare professionals.
Colorectal polyps are precursors of colorectal cancer. Metabolic dysfunction associated steatohepati...
The increasing availability of massive genetic sequencing data in the clinical setting has triggered...
BACKGROUND AND AIMS: Multiple computer-aided detection (CADe) software programs have now achieved re...
The broad use of artificial intelligence (AI) and its various applications have already shown signif...
PURPOSE: To develop and validate deep learning (DL) models using preoperative contrast-enhanced CT i...
The characteristics of neutrophils play a crucial role in defining the tumor inflammatory environmen...
Deep learning shows promise for medical image segmentation but suffers performance declines when app...
Accurate polyp image segmentation is of great significance, because it can help in the detection of ...
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in ar...
There exist significant challenges for lung adenocarcinoma (LUAD) due to its poor prognosis and lim...
Medical image classification requires labeled, task-specific datasets which are used to train deep l...
BACKGROUND AND OBJECTIVE: Treatment approaches for colorectal cancer (CRC) are highly dependent on t...
BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the major causes of cancer death worldwide. Es...
BACKGROUND/PURPOSE: Contrast-enhanced intraoperative ultrasonography (CE-IOUS) is crucial for detect...
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting ...
BACKGROUND: Tumor Mutational Burden (TMB) have emerged as pivotal predictive biomarkers in determini...
Standard-of-care (SoC) imaging for assessing colorectal polyps during colonoscopy, based on white-li...
Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlight...
The acurate segmentation and classification of nuclei in histological images are crucial for the dia...
OBJECTIVE: To evaluate the diagnostic performance of Machine Learning (ML) and Deep Learning (DL) mo...
The prognosis for gallbladder adenocarcinoma (GBAC), a highly malignant cancer, is not good. In orde...