A carregar...
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography
We present an interpretable end-to-end computer-aided detection and diagnosis tool for pulmonary nodules on computed tomography (CT) using deep learning-based methods. The proposed network consists of a nodule detector and a nodule malignancy classifier. We used RetinaNet to train a nodule detector...
Na minha lista:
| Publicado no: | Proc SPIE Int Soc Opt Eng |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7325481/ https://ncbi.nlm.nih.gov/pubmed/32606487 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2551220 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|