Enhancing explainability in oral cancer detection with Grad-CAM visualizations (2024)
- Authors:
- USP affiliated authors: KOWALSKI, LUIZ PAULO - FM ; CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SOUZA, EDUARDO SANTOS CARLOS DE - ICMC ; ARAÚJO, ANNA LUÍZA DAMACENO - FM
- Unidades: FM; ICMC
- DOI: 10.1007/978-3-031-64605-8_11
- Subjects: APRENDIZAGEM PROFUNDA; RECONHECIMENTO DE IMAGEM; DIAGNÓSTICO POR IMAGEM; TECNOLOGIAS DA SAÚDE; NEOPLASIAS BUCAIS
- Keywords: Oral cancer diagnosis; Interpretability; Grad-CAM; Model evaluation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 14813, p. 151-164, 2024
- Conference titles: International Conference on Computational Science and its Applications - ICCSA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Arnaldo Vitor Barros da et al. Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64605-8_11. Acesso em: 08 fev. 2026. , 2024 -
APA
Silva, A. V. B. da, Saldivia-Siracusa, C., Souza, E. S. C. de, Araujo, A. L. D., Lopes, M. A., Vargas, P. A., et al. (2024). Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64605-8_11 -
NLM
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2026 fev. 08 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11 -
Vancouver
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2026 fev. 08 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11 - Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma
- Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study
- A convolutional neural network framework with ConvNeXt and Grad-CAM for classification of oral potentially malignant disorders and oral squamous cell carcinoma
- Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning
- Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach
- Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis
- Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review
- Two-step pipeline for oral diseases detection and classification: a deep learning approach
- Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions
- Segmentation of oral lesions through convolutional neural networks
Informações sobre o DOI: 10.1007/978-3-031-64605-8_11 (Fonte: oaDOI API)
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