10 ago
|
Italian Ministry of Education, University and Research
|
Italia
10 ago
Italian Ministry of Education, University and Research
Italia
Università di Pavia collaborates with engineers to develop an AI tool that automatically detects and localizes ovarian follicles from nanoCT imaging datasets, aiming to automate classification and improve scalability.
Scopra se questa occasione è adatta a lei leggendo tutte le informazioni riportate di seguito.
The project leverages 3D deep learning, including CNNs and Vision Transformers, to support accurate analysis. xysqume
Applicants should have a strong background in mammalian gametogenesis and reproductive biology, with experience in CT analysis of soft tissues.
#J-18808-Ljbffr
📌 AI-Driven Follicle Detection in Murine Nano-CT Images (Italia)
🏢 Italian Ministry of Education, University and Research
📍 Italia