Latest Research in Oncological Diagnostic Imaging

Top Research Topics in Oncological Diagnostic Imaging

• AI in cancer detection — 78 papers
• Computer Vision and Pattern Recognition — 57 papers
• Cutaneous Melanoma Detection and Management — 26 papers
• Radiomics and Machine Learning in Medical Imaging — 25 papers
• Image and Video Processing — 18 papers
• Advanced X-ray and CT Imaging — 10 papers
• Lung Cancer Diagnosis and Treatment — 10 papers
• Artificial Intelligence in Healthcare and Education — 9 papers
• Medical Imaging Techniques and Applications — 9 papers
• Digital Imaging for Blood Diseases — 9 papers

Highest-Cited Papers

1. Clinical evaluation of novel deep learning‐based auto‐segmentation software: Utility and potential pitfalls (1 citations)
2. Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC (1 citations)
3. HemaViT: transformer-based deep learning for automated non-invasive anemia detection using conjunctival imaging
4. Quantitative accuracy and clinical utility of ultra-low dose CT protocols for attenuation correction in PET/CT
5. External validation of AI assisted colposcopy using WHO dataset for cervical precancer and cancer detection
6. Staged purpose-blinded evaluation of provenance risk from a general-purpose generator in breast ultrasound
7. Quantum-inspired Levenberg–Marquardt Network for Ovarian Cyst Identification Using Ultrasound Image
8. A dual stream architecture integrating pathology foundation models for automated tumor region segmentation in Ki-67 assessment
9. A novel integrated circular radiography (ICRAD) phantom for evaluating non‐uniform image quality metrics in radiography
10. Automated pancreatic segmentation and regional fat quantification suggest tail fat association with type 2 diabetes
11. Role of foundation models in data-driven tissue diagnostics
12. Development of a novel material specific imaging algorithm and dual-energy CBCT technology for the next generation imaging solution on O-ring linacs
13. Artificial Intelligence and Radiomics in the Diagnosis and Management of Cancer
14. DeepBreastNet: Multi-Modal Deep Learning for Comprehensive Breast Cancer Diagnosis Across Heterogeneous Imaging Modalities
15. Transformer-Based Multimodal Fusion Integrating Computed Tomography, Pathology, and Clinical Features for Oral Squamous Cell Carcinoma Recurrence Prediction
16. Quantitative and qualitative lung parameters in photon-counting CT: comparison of ultra-low-dose with standard low-dose protocols
17. Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
18. Deep Learning Assisted‐Axial Resolution Improvement for Probe‐Based Confocal Laser Endomicroscopy
19. Toward Clinically Trustworthy Pathology Foundation Models for Microsatellite Instability Prescreening in Colorectal Cancer
20. Prognostic value of AI-derived probability of interstitial lung abnormalities and interstitial lung disease in patients with esophageal cancer

Sub-Regions

• Computer Vision and Pattern Recognition — 123 papers
• Radiomics and Machine Learning in Medical Imaging — 86 papers
• Medical Imaging Techniques and Applications — 73 papers
• AI in cancer detection — 43 papers
• Cutaneous Melanoma Detection and Management — 28 papers
• Generative Adversarial Networks and Image Synthesis — 21 papers