AI-Driven Follicle Detection in Murine Nano-CT Images

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7dd9t2

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.

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The project leverages 3D deep learning, including CNNs and Vision Transformers, to support accurate analysis. xbvzest
Applicants should have a strong background in mammalian gametogenesis and reproductive biology, with experience in CT analysis of soft tissues.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7dd9t2