Zobrazeno 1 - 10
of 24
pro vyhledávání: '"DANIEL S. FERREIRA"'
Autor:
Geovani L. Martins, Daniel S. Ferreira, Claudia M. Carneiro, Nivia C. Nogueira-Paiva, Andrea G. C. Bianchi
Publikováno v:
PLoS ONE, Vol 19, Iss 6 (2024)
Externí odkaz:
https://doaj.org/article/c1ac80013fe1483aa7f71b89b277e3cc
Autor:
Josias G. Batista, Geraldo L. B. Ramalho, Marcelo A. Torres, Anderson L. Oliveira, Daniel S. Ferreira
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11642 (2023)
Industrial applications with robotic manipulators have grown and made production systems increasingly efficient. However, there are still some limitations that can delay production, causing losses. Several factors, such as accidents and collisions of
Externí odkaz:
https://doaj.org/article/b8c971701b45406eacad1f6d472570c4
Autor:
ERIC H.C.B. VAN CLEEF, PRISCILA S.N. DE OLIVEIRA, ROSEMARY LAÍS GALATI, DANIEL S. FERREIRA, VIVIANE C. SANTOS, ANTÔNIO CARLOS HOMEM JUNIOR, SERGIO ANTÔNIO G. PEREIRA JUNIOR, RENÉ MAURICIO P. PARDO, JANE MARIA B. EZEQUIEL
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 93, Iss 3 (2021)
Abstract The objective of this study was to evaluate high-concentrate diets and two energy sources on intake, performance and meat quality parameters of feedlot Nellore heifers. Twenty-eight heifers (200 ± 22.5 kg BW) were randomly assigned to four
Externí odkaz:
https://doaj.org/article/ecf102e97062465e8ab2da7e4dd09117
Publikováno v:
Computers in biology and medicine. 132
The motion performed by some protozoa is a crucial visual stimulus in microscopy analysis, especially when they have almost imperceptible morphological characteristics. Microorganisms can be distinguished through the interactions of their locomotion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec46d731a050a89e5a82555d6f7072bc
https://pubmed.ncbi.nlm.nih.gov/33799216
https://pubmed.ncbi.nlm.nih.gov/33799216
Autor:
Fátima N. S. de Medeiros, Deborah M.V. Magalhães, Brigida Farias Cardoso Oliveira, Daniel S. Ferreira
Publikováno v:
IWSSIP
This paper investigates the feasibility of combining sustained vowels for computer-based pathological voice characterization. Although recent work has shown that single sustained vowels enable accurate voice characterization, the literature lacks evi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5b662411e266a371d8e719b93fbce4
https://doi.org/10.1109/iwssip48289.2020.9145258
https://doi.org/10.1109/iwssip48289.2020.9145258
Publikováno v:
Intelligent Systems ISBN: 9783030613761
BRACIS
BRACIS
One of the main challenges for cell segmentation is to separate overlapping cells, which is also a challenging task for cytologists. Here we propose a method that combines different algorithms for cervical cell segmentation of Pap smear images and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ef792431603f2d449db564496289fb
https://doi.org/10.1007/978-3-030-61377-8_19
https://doi.org/10.1007/978-3-030-61377-8_19
Publikováno v:
Intelligent Systems ISBN: 9783030613761
BRACIS
BRACIS
Colorectal cancer causes the deaths of thousands of people worldwide according to the World Health Organization. Automatic tissue recognition of histopathological images is essential for early disease diagnosis. Most research consists of employing te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4eb1ce7943958e1da2b66a4c63f1bf4
https://doi.org/10.1007/978-3-030-61377-8_23
https://doi.org/10.1007/978-3-030-61377-8_23
Autor:
Fátima N. S. de Medeiros, Daniel S. Ferreira, Pedro Pedrosa Rebouças Filho, Geraldo Luis Bezerra Ramalho
Publikováno v:
Measurement. 94:406-415
Feature extraction plays a key role in pattern recognition. Here we present a rotation-invariant feature extraction methodology based on a structural approach using co-occurrence statistics. We assessed the performance of our method comparing it to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5922f500f69822162ff0f7323fd10530
https://doi.org/10.1016/j.measurement.2016.08.012
https://doi.org/10.1016/j.measurement.2016.08.012
Autor:
L B Ramalho Geraldo, Daniel S. Ferreira, N S Medeiros Fatima, Cláudia Martins Carneiro, Daniela Ushizima, G C Bianchi Andrea
Publikováno v:
ISBI
This paper describes our automatic cell image classification algorithm that explores expert’s eye tracking data combined to convolutional neural networks. Our framework selects regions of interest that attract cytologists attention, then it focuses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b82f9485d06e2ffc27564c29bddb0b36
https://doi.org/10.1109/isbi.2019.8759398
https://doi.org/10.1109/isbi.2019.8759398
Autor:
Aldísio Medeiros, Daniel S. Ferreira
Publikováno v:
Anais Pr ncipais do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2015).
Este artigo apresenta um método para detecção de agrupamentos de microcalcificações, com formas arbitrárias, em imagens digitais de mamografias. Neste método, o formato das regiões suspeitas é sinalizado de acordo com a localização das mic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b0ed885d9ddbe34820f29fb9af2cc18
https://doi.org/10.5753/sbcas.2015.10391
https://doi.org/10.5753/sbcas.2015.10391