AI in High-Frequency Micro-Ultrasound: Advancing Prostate Imaging from Segmentation to Cancer Detection
AI for micro-US shows promising and reproducible early results across detection, segmentation and registration, but evidence is still limited. In view of the potential of AI to optimize micro-US utilization and its related advantages, additional efforts are warranted to achieve clinical adoption.
Authors
- Pier Paolo Avolio (ORCID: https://orcid.org/0000-0002-7497-265X)
- Giacomo Cavadini
- Ludovica Cella
- M. Lazzeri
- Alberto Saita (ORCID: https://orcid.org/0000-0003-0000-5517)
- Andrea Piccolini (ORCID: https://orcid.org/0009-0004-6601-1244)
- Rebecca Canneto
- Paolo Casale
- Marco Paciotti
- Nicolò Maria Buffi
- Luca Di Stefano
- Giovanni Lughezzani
- Vittorio Fasulo
Institutions
- Humanitas University (IT)
- IRCCS Humanitas Research Hospital (IT)
Publication Details
- Journal
- Cancers
- Published
- 2026-02-18
- DOI
- https://doi.org/10.3390/cancers18040665
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute
- Humanitas Research Hospital