E-LIB Suche - Ergebnisse für: Carneiro, Pedro Cunha

1

A new model for classification of medical CT images using C..:

de Sousa, Pedro Moises ; Carneiro, Pedro Cunha ; Pereira, Gabrielle Macedo...
Multimedia Tools and Applications. 82 (2022) 16 - p. 25327-25355 , 2022

Link: https://doi.org/10.1007/..

2

Towards a Classification Model using CNN and Wavelets appli..:

Sousa, Pedro Moises de ; Carneiro, Pedro Cunha ; Pereira, Gabrielle Macedo...
Research, Society and Development. 11 (2022) 5 - p. e2411527919 , 2022

Link: https://doi.org/10.33448..

3

COVID-19 classification in X-ray chest images using a new c..:

de Sousa, Pedro Moisés ; Carneiro, Pedro Cunha ; Oliveira, Mariane Modesto...
Research on Biomedical Engineering. 38 (2021) 1 - p. 87-97 , 2021

Link: https://doi.org/10.1007/..

4

Contrast Enhancement Using CLAHE on the Wavelet Image Decom..:

, In: XXVI Brazilian Congress on Biomedical Engineering; IFMBE Proceedings,

Carneiro, Pedro Cunha ; Gondim, Pedro Henrique Campos Cunha ; de Sousa, Pedro Moisés... - p. 137-141 , 2019

Link: https://doi.org/10.1007/..

5

Performance Comparison Between Automatic Liver Segmentation..:

, In: XXVI Brazilian Congress on Biomedical Engineering; IFMBE Proceedings,

Thomaz, Ricardo de Lima ; Carneiro, Pedro Cunha ; Patrocinio, Ana Claudia. - p. 363-368 , 2019

Link: https://doi.org/10.1007/..

6

CNR and PSNR Evaluation Between 2D FFDM and 3D Tomosynthesi..:

, In: VipIMAGE 2017; Lecture Notes in Computational Vision and Biomechanics,

Carneiro, Pedro Cunha ; de Lima Thomaz, Ricardo ; Patrocinio, Ana Claudia. - p. 203-207 , 2017

Link: https://doi.org/10.1007/..

7

Novel Mahalanobis-based feature selection improves one-clas..:

Thomaz, Ricardo de Lima ; Carneiro, Pedro Cunha ; Bonin, João Eliton...
Medical & Biological Engineering & Computing. 56 (2017) 5 - p. 817-832 , 2017

Link: https://doi.org/10.1007/..

8

CLAHE Parameters Effects on the Quantitative and Visual Ass..:

Cunha Carneiro, Pedro ; Lemos Debs, Cecília ; Oliveira Andrade, Adriano.
IEEE Latin America Transactions. 17 (2019) 5 - p. 851-857 , 2019

Link: https://doi.org/10.1109/..

9

Towards a Classification Model using CNN and Wavelets appli..:

Sousa, Pedro Moises de ; Carneiro, Pedro Cunha ; Pereira, Gabrielle Macedo...
https://rsdjournal.org/index.php/rsd/article/view/27919/24283. , 2022

Link: https://rsdjournal.org/i..

10

Proposta de metodologia para realce de contraste em imagens..:

Carneiro, Pedro Cunha
CARNEIRO, Pedro Cunha. Proposta de metodologia para realce de contraste em imagens de mamas densas utilizando decomposição multiescala com transformada discreta wavelet. 2019. 210 f. Tese (Doutorado em Engenharia Elétrica) - Universidade Federal de Uberlândia, Uberlândia, 2019. Disponível em: https://doi.org/10.14393/ufu.te.2019.2593 .. , 2019

Link: https://repositorio.ufu...

11

Breast density pattern characterization by histogram featur..:

Carneiro, Pedro Cunha ; Franco, Marcelo Lemos Nunes ; Thomaz, Ricardo de Lima.
10.1590/2446-4740.07916. , 2017

Link: http://www.scielo.br/sci..

12

Classificação mamográfica por densidade mamária utilizando ..:

Carneiro, Pedro Cunha
CARNEIRO, Pedro Cunha. Breast density classification through intensity and texture features. 2015. 114 f. Dissertação (Mestrado em Engenharias) - Universidade Federal de Uberlândia, Uberlândia, 2015. Disponível em: https://doi.org/10.14393/ufu.di.2015.438. , 2015

Link: https://repositorio.ufu...

13

Autoinflammatory diseases: a Latin American multicenter stu..:

Piotto, Daniela Gerent Petry ; Kozu, Katia ; Aikawa, Nádia Emi...
Revista Paulista de Pediatria. 42 (2024) - p. , 2024

Link: https://doi.org/10.1590/..

14

Estruturação de Compliance como prevenção jurídica frente a..:

Sousa Martins, Pedro Guilherme ; Carneiro da Cunha, Julio
Revista do CEJUR/TJSC: Prestação Jurisdicional. 12 (2024) 00 - p. e0429 , 2024

Link: https://doi.org/10.37497..

15

Lionfish on the loose: Pterois invade shallow habitats in t..:

Soares, Marcelo O. ; Feitosa, Caroline V. ; Garcia, Tatiane M....
Frontiers in Marine Science. 9 (2022) - p. , 2022

Link: https://doi.org/10.3389/..