Efficient interactive multi-object segmentation in medical images (2019)
- Authors:
- Autor USP: MIRANDA, PAULO ANDRE VECHIATTO DE - IME
- Unidade: IME
- DOI: 10.1007/978-3-030-11018-5_61
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: medical image segmentation; interactive segmentation; graph-based image segmentation; superpixels segmentation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Volume/Número/Paginação/Ano: Part IV
- Conference titles: European Conference on Computer Vision - ECCV
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LEON, Leissi Margarita Castañeda e MIRANDA, Paulo André Vechiatto de. Efficient interactive multi-object segmentation in medical images. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-11018-5_61. Acesso em: 27 set. 2024. -
APA
Leon, L. M. C., & Miranda, P. A. V. de. (2019). Efficient interactive multi-object segmentation in medical images. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-11018-5_61 -
NLM
Leon LMC, Miranda PAV de. Efficient interactive multi-object segmentation in medical images [Internet]. Proceedings. 2019 ;[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-11018-5_61 -
Vancouver
Leon LMC, Miranda PAV de. Efficient interactive multi-object segmentation in medical images [Internet]. Proceedings. 2019 ;[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-11018-5_61 - A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images
- TSS & TSB: tensor scale descriptors within circular sectors for fast shape retrieval
- Relative fuzzy connectedness on directed graphs and its application in a hybrid method for interactive image segmentation
- Object segmentation by oriented image foresting transform with connectivity constraints
- Oriented relative fuzzy connectedness: theory, algorithms, and its applications in hybrid image segmentation methods
- Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking
- A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms
- Elucidating the relations among seeded image segmentation methods and their possible extensions
- Intelligent understanding of user interaction in image segmentation
- Oriented image foresting transform segmentation with connectivity constraints
Informações sobre o DOI: 10.1007/978-3-030-11018-5_61 (Fonte: oaDOI API)
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