A fully digital, label-free pipeline for FFPE biopsy analysis with SRH and deep learning
Eric Michele Fantuzzi, Francesco Crisafi(Istituto Ramazzini), David Pertzborn(Jena University Hospital), Anna Mühlig(Jena University Hospital), M. Negro(Politecnico di Milano), Daniela Pelzel(Jena University Hospital), Renzo Vanna(Istituto di Fotonica e Nanotecnologie), Andrea Ragni(Istituto Ramazzini), Federico Monti, Gabriele Di Noia(Istituto Ramazzini), Tiago Azevedo(University of Cambridge), Anna Xylander, Pietro Liò, Chris Tomy, Moe Vali, Eleonora Erriquez, Federica Padelli, Orlando Guntinas-Lichius, Mujeeb Rahman, Ulrike Weyer
Cited by 0
Related Papers
High harmonic generation spectroscopy of hydrocarbons
|Applied Physics Letters|2010|51
Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning
|Cancers|2022|33
Multi-Class Cancer Subtyping in Salivary Gland Carcinomas with MALDI Imaging and Deep Learning
|Cancers|2022|25