Latest Research in Lung Cancer Diagnosis and Treatment

Top Research Topics in Lung Cancer Diagnosis and Treatment

• Computer Vision and Pattern Recognition — 7 papers
• Lung Cancer Diagnosis and Treatment — 3 papers
• Gallbladder and Bile Duct Disorders — 3 papers
• Medical Imaging Techniques and Applications — 2 papers
• Advanced X-ray and CT Imaging — 2 papers
• Neonatal Health and Biochemistry — 1 papers
• COVID-19 diagnosis using AI — 1 papers
• Software Engineering — 1 papers
• Systemic Lupus Erythematosus Research — 1 papers
• Explainable Artificial Intelligence (XAI) — 1 papers

Highest-Cited Papers

1. Deceptive bias measurement in deep learning: Assessing shortcut reliance in TCGA cancer models (1 citations)
2. An end-to-end hybrid 3D CNN–transformer architecture for comprehensive lung cancer assessment from chest CT scans
3. Beyond the Foreground: FOV-Aware Polyp Image Synthesis via Lesion-Guided Adaptive Mucosal Context Propagation
4. YOLO–SAM-Guided ROI-Based Deep Learning for Non-Invasive Neonatal Jaundice Detection
5. Clinical evaluation of deep learning-enhanced respiratory gated 18F-FDG PET/CT images
6. Cholecystitis detection based on PoolConvNeXt using computed tomography images
7. INFORMER—Interpretability-Founded Monitoring of Medical Image Deep Learning Models: Application to Chest X-ray Pathologies
8. Multi-view attention-based deep learning for benign–malignant classification of pulmonary nodules
9. woma: a real-time foundation model and its fine-tuned models for endoscopy
10. Slice-Level Deep Learning Classification of Acute Cholecystitis on Contrast-Enhanced CT: A Single-Center Benchmark of Six CNN Architectures
11. Artificial Intelligence Across the PET Reconstruction Pipeline: An Update
12. Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation
13. WSPolypNet: Weakly Supervised Polyp Localization in Colonoscopy Videos
14. Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging
15. Deep Learning for Quantitative Perfusion 99mTc-ECD SPECT in Clinically Confirmed Neuropsychiatric Systemic Lupus Erythematosus: Comparison with Established Software
16. Improved Segmentation of Polyps and Visual Explainability Analysis
17. A Leakage‐Free, Patient‐Level Evaluation Protocol for Multi‐Class Lung CT Diagnosis
18. Size‐specific weighted detectability index for computed tomography image characterization
19. Integrating Unimodal and Vision-Language Representations in Latent Space for Multi-Label Chest X-Ray Classification
20. Phantom evaluation of small‐pixel effect in ultra‐high‐resolution photon‐counting CT: Noise texture and high‐contrast spatial resolution