Latest Research in Colorectal Cancer Screening and Detection

Top Research Topics in Colorectal Cancer Screening and Detection

• Colorectal Cancer Screening and Detection — 6 papers
• Hepatocellular Carcinoma Treatment and Prognosis — 2 papers
• Computer Vision and Pattern Recognition — 2 papers
• Image and Video Processing — 2 papers
• Advanced X-ray and CT Imaging — 2 papers
• Cardiovascular Disease and Adiposity — 1 papers
• Brain Tumor Detection and Classification — 1 papers
• Inflammatory Bowel Disease — 1 papers
• Gastric Cancer Management and Outcomes — 1 papers
• Liver Disease and Transplantation — 1 papers

Highest-Cited Papers

1. Artificial Intelligence in Endohepatology: Toward an Intelligent One‐Stop Shop for Liver‐Directed Endoscopy
2. Automated pancreatic segmentation and regional fat quantification suggest tail fat association with type 2 diabetes
3. ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis
4. User perceptions of an artificial intelligence-based computer-aided detection system in colonoscopy: a single-center exploratory survey study
5. Artificial intelligence in upper gastrointestinal endoscopy: what detection rates cannot tell us
6. CapsuleMotion: A Lightweight Real-Time Visual Motion Predictor for Capsule Endoscopy
7. An Attention-Residual Hybrid CNN for CT-Based Multiclass Classification of Alcohol-Related Liver Disease: Differential Diagnosis Against HBV-Related Cirrhosis
8. Beyond the algorithm: what makes artificial intelligence-assisted colonoscopy effective in routine practice?
9. Automated assessment of Crohn’s disease activity using a deep learning model with multimodal data
10. Performance of an artificial intelligence program for assessing the depth of early gastric cancer using endoscopic images
11. Artificial intelligence in advanced liver disease: From risk stratification to decision
12. Liver Disorder Detection Using Fractional Brown-Bear Optimization-Based Feature Fusion and Ensemble Learning
13. Artificial Intelligence for Esophageal Precancerous Lesions and Esophageal Cancer
14. Perceptions of Incidental Findings on Lung Cancer Screening Exams: A National Survey of Primary Care Clinicians and Radiologists
15. Artificial Intelligence for Endoscopic Diagnosis of Gastric Premalignant Lesions
16. DUCK ‐Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology
17. FollicleFinder enables automated three-dimensional segmentation of human ovarian follicles
18. Feasibility of longitudinal in vivo monitoring of pulmonary disease progression in mouse models using laboratory-based x-ray dark-field CT
19. Quantitative image feature integrated digital pathology model based on deep learning and machine learning for binary histological severity stratification of ulcerative colitis
20. Time-division multiplexed microwave-induced thermoacoustic and ultrasound tomography for complementary structural and dielectric imaging