Identification of tumor-specific MRI biomarkers using machine learning (ML)
The identification of reliable and non-invasive oncology biomarkers remains a main priority
in healthcare. There are only a few biomarkers that have been approved as diagnostic for …
in healthcare. There are only a few biomarkers that have been approved as diagnostic for …
[HTML][HTML] Self-supervised learning methods for label-efficient dental caries classification
High annotation costs are a substantial bottleneck in applying deep learning architectures to
clinically relevant use cases, substantiating the need for algorithms to learn from unlabeled …
clinically relevant use cases, substantiating the need for algorithms to learn from unlabeled …
Detection of bone metastases on bone scans through image classification with contrastive learning
Patients with bone metastases have poor prognoses. A bone scan is a commonly applied
diagnostic tool for this condition. However, its accuracy is limited by the nonspecific …
diagnostic tool for this condition. However, its accuracy is limited by the nonspecific …
Identifying non-math students from brain mris with an ensemble classifier based on subspace-enhanced contrastive learning
In current research processes, mathematical learning has significantly impacted the brain's
plasticity and cognitive functions. While biochemical changes in brain have been …
plasticity and cognitive functions. While biochemical changes in brain have been …
[PDF][PDF] Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification. Diagnostics 2022, 12, 1237
High annotation costs are a substantial bottleneck in applying deep learning architectures to
clinically relevant use cases, substantiating the need for algorithms to learn from unlabeled …
clinically relevant use cases, substantiating the need for algorithms to learn from unlabeled …
[PDF][PDF] Identification of Tumor-specific MRI Biomarkers Using Machine Learning (ML). Diagnostics 2021, 11, 742
The identification of reliable and non-invasive oncology biomarkers remains a main priority
in healthcare. There are only a few biomarkers that have been approved as diagnostic for …
in healthcare. There are only a few biomarkers that have been approved as diagnostic for …