A5084391991- AI in cancer detection
- Cutaneous Melanoma Detection and Management
- Nonmelanoma Skin Cancer Studies
- Cell Image Analysis Techniques
- Oral and Maxillofacial Pathology
- Glycosylation and Glycoproteins Research
- Radiomics and Machine Learning in Medical Imaging
- Neural Networks and Applications
- Monoclonal and Polyclonal Antibodies Research
- Data Stream Mining Techniques
- Brain Tumor Detection and Classification
- Digital Imaging for Blood Diseases
- Stochastic Gradient Optimization Techniques
- Chronic Lymphocytic Leukemia Research
Oncode Institute
2024
Radboud University Nijmegen
2023-2024
Radboud University Medical Center
2023-2024
University Medical Center
2023-2024
Image analysis can play an important role in supporting histopathological diagnoses of lung cancer, with deep learning methods already achieving remarkable results. However, due to the large scale whole-slide images (WSIs), creating manual pixel-wise annotations from expert pathologists is expensive and time-consuming. In addition, heterogeneity tumors similarities morphological phenotype tumor subtypes have caused inter-observer variability annotations, which limits optimal performance....
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel image inputs directly. Recent developments in weakly supervised learning, such as attention-gated multiple instance have shown promising results, but often use multi-stage or patch-wise training strategies risking suboptimal feature extraction, which can negatively impact performance. In this paper, we propose a ResNet-34 encoder with an classification head end-to-end fashion, call...
The frequency of basal cell carcinoma (BCC) cases is putting an increasing strain on dermatopathologists. BCC the most common type skin cancer, and its incidence rapidly worldwide. AI can play a significant role in reducing time effort required for diagnostics thus improve overall efficiency process. To train such system fully-supervised fashion however, would require large amount pixel-level annotation by already strained Therefore, this study, our primary objective was to develop...