Latest AI and machine learning research in gastroenterology for healthcare professionals.
Generalizable medical image segmentation is essential for ensuring consistent performance across d...
Scientific discovery relies on scientists generating novel hypotheses that undergo rigorous experi...
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...
Colorectal cancer (CRC) is a significant global health concern, and early detection through screen...
Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in m...
We present RMA-Mamba, a novel architecture that advances the capabilities of vision state space mo...
We present an end-to-end deep learning framework for automated liver cirrhosis stage estimation fr...
Introduction: Computer vision (CV) has had a transformative impact in biomedical fields such as ra...
Foundational models (FMs) have made significant strides in the healthcare domain. Yet the data sil...
The development of electronic stethoscopes and wearable recording sensors opened the door to the a...
While deep learning methods have shown great promise in improving the effectiveness of prostate ca...
Recent research in medical image analysis with deep learning almost exclusively focuses on grid- o...
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recogni...
Based on global genomic status, the cancer tumor is classified as Microsatellite Instable (MSI) an...
BACKGROUND: Borrmann type-4 (B-4) advanced gastric cancer is challenging to diagnose through routine...
Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...
Prostate cancer (Pca) continues to be a leading cause of cancer-related mortality in men, and the ...
Employing self-supervised learning (SSL) methodologies assumes par-amount significance in handling...
Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for syste...
Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing w...
Deep learning techniques are increasingly being adopted in diagnostic medical imaging. However, th...