Latest AI and machine learning research in colon cancer for healthcare professionals.
Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing w...
$\textbf{Background}$: Cancer remains one of the leading causes of morbidity and mortality worldwi...
Deep learning techniques are increasingly being adopted in diagnostic medical imaging. However, th...
Image segmentation is a critical task in visual understanding. Convolutional Neural Networks (CNNs...
Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, t...
This study constructed a prognostic model combining machine learning-based immune infiltration-relat...
Deep learning methods have demonstrated strong performance in objection tasks; however, their abil...
Automated diagnostic systems (ADS) have shown significant potential in the early detection of poly...
Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the...
With the advancements in self-supervised learning (SSL), transformer-based computer vision models ...
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...
Computed tomography (CT) and clinical numeric data are essential modalities for cancer evaluation,...
Survival prognosis is crucial for medical informatics. Practitioners often confront small-sized cl...
Establishing the reproducibility of radiomic signatures is a critical step in the path to clinical...
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It start...
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five prima...
BACKGROUNDS AND AIMS: The Mayo endoscopic subscore [MES] is the most popular endoscopic disease acti...
BACKGROUND AND AIMS: The long-term treat-to-target (T2T) approach in ulcerative colitis (UC) aims fo...
In this work, we present EndoDINO, a foundation model for GI endoscopy tasks that achieves strong ...
This paper introduces Tree-NET, a novel framework for medical image segmentation that leverages bo...
BACKGROUND: Cancer patients have up to a 3-fold higher risk for cardiovascular disease (CVD) than th...