Preprints

In hematology/oncology clinics, molecular diagnostics based on nucleic acid sequencing or hybridization are routinely employed to detect malignancy-associated genetic mutations and are instrumental in therapeutic stratification and prognostication. However, their limited cost-efficiency constrains their use in pre-malignant screening-specifically, the detection of rare circulating mutant blood cells in asymptomatic individuals. [...]

Dual-stain cytology, using p16 and Ki67, is superior to conventional PAP cytology for triage of HPV-positive test results in cervical cancer screening. Its AI-based evaluation can remove subjectivity, improve performance and facilitate implementation. [...]

To advance the transparency of learning machines such as Deep Neural Networks (DNNs), the field of Explainable AI (XAI) was established to provide interpretations of DNNs' predictions. While different explanation techniques exist, a popular approach is given in the form of attribution maps, which illustrate, given a particular data point, the relevant patterns the model has used for making its prediction. [...]

Abstract: This archive contains the Lesion Dataset with Synthetic Follow-ups, which provides original and synthetic second-timepoint images with annotations as part of the LesionLocator paper, a framework for zero-shot universal tumor segmentation and tracking in 3D whole-body imaging. The dataset is approximately 700 GB in size and contains around 5,200 images. [...]