Micro-CT and machine learning: a high-throughput alternative to histology for follicle reserve assessment in cryopreserved ovarian tissue
Abstract Background Ovarian tissue cryopreservation followed by transplantation after cancer remission is a fertility preservation strategy available for certain patient groups, such as pre-pubertal and adolescent girls, as well as adult females requiring urgent gonadotoxic therapy. Quantitative ass...
Shranjeno v:
| Principais autores: | , , , , , , , , , , |
|---|---|
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BMC
2025-12-01
|
| Serija: | Journal of Ovarian Research |
| Teme: | |
| Online dostop: | https://doi.org/10.1186/s13048-025-01897-8 |
| Oznake: |
Brez oznak, prvi označite!
|