The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine (2021)
- Authors:
- USP affiliated authors: MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; CAZZOLATO, MIRELA TEIXEIRA - ICMC ; RAMOS, JONATHAN DA SILVA - ICMC ; RODRIGUES, LUCAS SANTIAGO - ICMC ; SCABORA, LUCAS DE CARVALHO - ICMC
- Unidades: FMRP; ICMC
- DOI: 10.1016/j.compbiomed.2021.104489
- Subjects: PROCESSAMENTO DE IMAGENS; RECONHECIMENTO DE IMAGEM; TECNOLOGIAS DA SAÚDE; TELEMEDICINA; ÚLCERA CUTÂNEA
- Keywords: dermatological ulcers; wound measurement; mobile; segmentation; image processing; telemedicine; mHealth
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2021
- Source:
- Título do periódico: Computers in Biology and Medicine
- ISSN: 0010-4825
- Volume/Número/Paginação/Ano: v. 134, p. 1-17, July 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CAZZOLATO, Mirela Teixeira et al. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, v. 134, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2021.104489. Acesso em: 28 abr. 2024. -
APA
Cazzolato, M. T., Ramos, J. da S., Rodrigues, L. S., Scabora, L. de C., Chino, D. Y. T., Jorge, A. E. S., et al. (2021). The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, 134, 1-17. doi:10.1016/j.compbiomed.2021.104489 -
NLM
Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489 -
Vancouver
Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489 - Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine
- Taking advantage of highly-correlated attributes in similarity queries with missing values
- VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams
- Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases
- Efficient indexing of multiple metric spaces with spectra
- Similarity search and correlation-based exploratory analysis in EHRs: a case study with COVID-19 databases
- Segmenting skin ulcers and measuring the wound area using deep convolutional networks
- Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools
- Content-based retrieval of medical images: from context to perception
- Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge
Informações sobre o DOI: 10.1016/j.compbiomed.2021.104489 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3029556.pdf | ||
 | 3029556_postprint.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
