Abstract Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biology.While deep learning increasingly plays a role, it is difficult to generalize due to variability at the level of cells, neighborhoods, and niches in health and disease.To address this, we develop TACIT, an unsupervised algorithm for cell an
The use of photogrammetry in 3D heritage documentation has matured over the recent years.In the same time, many types of sensors have also been developed in the field of imaging.While photogrammetry is considered as a low-cost alternative to TLS, several options exist in terms of sensor type with trade-offs between price, ease of use, and quality o
The interest of the scientific community for computer aided skin lesion analysis and characterization has been Meats increased during the last years for the growing incidence of melanoma among cancerous pathologies.The detection of melanoma in its early stage is essential for prognosis improvement and for guaranteeing a high five-year relative surv