BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans (2017)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidade: ICMC
- DOI: 10.1109/CBMS.2017.82
- Subjects: BANCO DE DADOS; PROCESSAMENTO DE IMAGENS; RECONHECIMENTO DE IMAGEM; DIAGNÓSTICO POR IMAGEM
- Keywords: Lung diseases; CT scans; heat map; statistical modeling; classification; CBIR; texture; superpixel
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2017
- Source:
- Título: Proceedings
- ISSN: 2372-9198
- Conference titles: International Symposium on Computer-Based Medical Systems - CBMS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CAZZOLATO, Mirela T et al. BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/CBMS.2017.82. Acesso em: 10 fev. 2026. -
APA
Cazzolato, M. T., Scabora, L. C., Costa, A. F., Nesso-Jr, M. R., Milano-Oliveira, L. F., Kaster, D. S., et al. (2017). BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2017.82 -
NLM
Cazzolato MT, Scabora LC, Costa AF, Nesso-Jr MR, Milano-Oliveira LF, Kaster DS, Traina Junior C, Traina AJM. BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans [Internet]. Proceedings. 2017 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/CBMS.2017.82 -
Vancouver
Cazzolato MT, Scabora LC, Costa AF, Nesso-Jr MR, Milano-Oliveira LF, Kaster DS, Traina Junior C, Traina AJM. BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans [Internet]. Proceedings. 2017 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/CBMS.2017.82 - Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms
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Informações sobre o DOI: 10.1109/CBMS.2017.82 (Fonte: oaDOI API)
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