Latest AI and machine learning research in colon cancer for healthcare professionals.
BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcino...
INTRODUCTION: Screening of lung nodules helps on early diagnosis of lung cancer, especially invasive...
Pediatric low-grade gliomas (pLGG) are the most common brain tumour in children, and the molecular ...
AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) ...
BACKGROUND AND OBJECTIVES: Accurate survival prediction for pancreatic ductal adenocarcinoma (PDAC) ...
Colorectal polyps are key indicators for early detection of colorectal cancer. However, traditiona...
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...
Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-trut...
Accurate and efficient medical image segmentation is crucial for advancing clinical diagnostics an...
Colonoscopy is vital in the early diagnosis of colorectal polyps. Regular screenings can effective...
Accurate medical image segmentation is essential for effective diagnosis and treatment. Previously...
Since human and environmental factors interfere, captured polyp images usually suffer from issues ...
Uncertainty quantification is becoming increasingly important in image segmentation, especially fo...
Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths and the third m...
Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...
Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed a...
The complexity and variability inherent in high-resolution pathological images present significant...
In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. ...
Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy a...
Introduction: This study provides a comprehensive performance assessment of vision-language models...