Hybrid Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening.
Transfer learning using deep pre-trained convolutional neural networks is increasingly used to solve a large number of problems in the medical field. In spite of being trained using images with entirely different domain, these networks are flexible to adapt to solve a problem in a different domain t...
| Publicado en: | Journal of Digital Imaging Vol. 33; no. 3; pp. 619 - 632 |
|---|---|
| Autores principales: | , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |