Nature

Hierarchical skin lesion image classification with prototypical decision tree

Traditional disease classification models often disregard the clinical significance of misclassifications and lack interpretability. To overcome these challenges, we propose a hierarchical ...
Nature

Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images

Computer vision adjunctive technology for oral lesion diagnoses has been developed to detect and identify Oral Potentially Malignant Disorders (OPMDs) and non-OPMDs. The early detection of OPMDs can ...
National Academies of Sciences%2c Engineering%2c and Medicine

Performance Metrics for the Global Nuclear Detection Architecture: Abbreviated Version

As noted in Finding 1.1, two critical components are needed to evaluate the effectiveness of the Global Nuclear Detection Architecture (GNDA): a new strategic plan with outcome-based metrics and an ...