Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images (2025)
- Authors:
- Autor USP: ROBERTO, GUILHERME FREIRE - ICMC
- Unidade: ICMC
- DOI: 10.5220/0013277300003929
- Subjects: REDES NEURAIS; RECONHECIMENTO DE IMAGEM; FRACTAIS; HISTOLOGIA
- Keywords: Enriched Backpropagation; Fractal Techniques; Loss Functions; CNN Architectures; H&E Images
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SciTePress
- Publisher place: Setúbal
- Date published: 2025
- Source:
- Título: Proceedings
- ISSN: 2184-4992
- Conference titles: International Conference on Enterprise Information Systems - ICEIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SANTOS, Luiz Fernando Segato dos et al. Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images. 2025, Anais.. Setúbal: SciTePress, 2025. Disponível em: https://doi.org/10.5220/0013277300003929. Acesso em: 04 ago. 2025. -
APA
Santos, L. F. S. dos, Neves, L. A., Martins, A. S., Roberto, G. F., Tosta, T. A. A., & Nascimento, M. Z. do. (2025). Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images. In Proceedings. Setúbal: SciTePress. doi:10.5220/0013277300003929 -
NLM
Santos LFS dos, Neves LA, Martins AS, Roberto GF, Tosta TAA, Nascimento MZ do. Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images [Internet]. Proceedings. 2025 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.5220/0013277300003929 -
Vancouver
Santos LFS dos, Neves LA, Martins AS, Roberto GF, Tosta TAA, Nascimento MZ do. Convolutional neural networks enriched by handcrafted attributes (Enriched-CNN): an innovative approach to pattern recognition in histological images [Internet]. Proceedings. 2025 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.5220/0013277300003929 - Association of fractal geometry and data augmentation through GANs and XAI for classification of histology images
- Percolation features: an approach for evaluating fractal properties in colour images
- Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers
Informações sobre o DOI: 10.5220/0013277300003929 (Fonte: oaDOI API)
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