Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model (2021)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.3390/s21092989
- Subjects: APRENDIZADO COMPUTACIONAL; REDES NEURAIS; RECONHECIMENTO DE IMAGEM; LEUCEMIA
- Keywords: leukaemia classification; blood smear images; fine-tuning; CNN
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VOGADO, Luis et al. Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21092989. Acesso em: 23 fev. 2026. -
APA
Vogado, L., Veras, R., Aires, K., Araújo, F., Silva, R., Ponti, M. A., & Tavares, J. M. R. S. (2021). Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model. Sensors, 21, 1-22. doi:10.3390/s21092989 -
NLM
Vogado L, Veras R, Aires K, Araújo F, Silva R, Ponti MA, Tavares JMRS. Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model [Internet]. Sensors. 2021 ; 21 1-22.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/s21092989 -
Vancouver
Vogado L, Veras R, Aires K, Araújo F, Silva R, Ponti MA, Tavares JMRS. Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model [Internet]. Sensors. 2021 ; 21 1-22.[citado 2026 fev. 23 ] Available from: https://doi.org/10.3390/s21092989 - Mobile inertial sensors for fall risk screening and prediction
- A decision cognizant Kullback-Leibler divergence
- Deep manifold alignment for mid-grain sketch based image retrieval
- Como funciona o deep learning
- Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression
- Generalization of feature embeddings transferred from different video anomaly detection domains
- An incremental linear-time learning algorithm for the optimum-path forest classifier
- Relevance image sampling from collection using importance selection on randomized optimum-path trees
- Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network
- Better than counting seconds: identifying fallers among healthy elderly using fusion of accelerometer features and dual-task timed up and go
Informações sobre o DOI: 10.3390/s21092989 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3027892.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
