Breast cancer diagnosis through knowledge distillation of Swin transformer-based teacher–student models
Breast cancer is a significant global health concern, emphasizing the crucial need for a timely and accurate diagnosis to enhance survival rates. Traditional diagnostic methods rely on pathologists analyzing whole-slide images (WSIs) to identify and diagnose malignancies. However, this task is compl...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2023-01-01
|
| coleção: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/2632-2153/ad10cc |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|