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...
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| Главные авторы: | , , , , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2025-12-01
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| Серии: | Journal of Ovarian Research |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1186/s13048-025-01897-8 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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