Výsledky vyhledávání - "Domingos Lucas Latorre de Oliveira"

Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer

Autor: Alessandro Santana Martins, Moacir Fernandes de Godoy, Dalisio de Santi Neto, José Márcio Machado, Pedro Francisco Ferraz de Arruda, Domingos Lucas Latorre de Oliveira, Marcelo Zanchetta do Nascimento, Leandro Alves Neves

Publikováno v: Expert Systems with Applications. 41:5017-5029

Prostate cancer is a serious public health problem accounting for up to 30% of clinical tumors in men. The diagnosis of this disease is made with clinical, laboratorial and radiological exams, which may indicate the need for transrectal biopsy. Prost

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8608aa2824b48d27d2394e73f2df49b
https://doi.org/10.1016/j.eswa.2014.02.048

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Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy

Autor: Marcelo Zanchetta do Nascimento, Pedro Francisco Ferraz de Arruda, Domingos Lucas Latorre de Oliveira, Moacir Fernandes de Godoy, Leandro Alves Neves, Dalisio de Santi Neto

Publikováno v: Expert Systems with Applications. 40:7331-7340

This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate images in three steps: pre-pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f4ea02df0c177cd034d32f81b4e981a
https://doi.org/10.1016/j.eswa.2013.06.079

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Classification of mammographic lesion based in Completed Local Binary Pattern and using multiresolution representation

Autor: Y A S Duarte, M Z Nascimento, Domingos Lucas Latorre de Oliveira

Publikováno v: Journal of Physics: Conference Series. 490:012127

This paper presents a comparison of two methods for features extraction of mammograms based in completed local binary pattern (CLBP) and wavelet transform. In first part, CLBP was applied in digitized mammograms. In second part, we applied CLBP in th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::62731c8371dfc3eab0d3833d8e08d980
https://doi.org/10.1088/1742-6596/490/1/012127

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Automatic classification of prostate stromal tissue in histological images using Haralick descriptors and Local Binary Patterns

Autor: D. N. da Silva Neto, Moacir Fernandes de Godoy, Pedro Francisco Ferraz de Arruda, Valério Ramos Batista, Domingos Lucas Latorre de Oliveira, Leandro Alves Neves, Ricardo de Souza Jacomini, Y A S Duarte, Marcelo Zanchetta do Nascimento

Publikováno v: Currículo Lattes
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

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Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2fa96ef57283020ea18a9473c86334b
https://doi.org/10.1088/1742-6596/490/1/012151

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Algorithms for automatic segmentation of bovine embryos produced in vitro

Autor: D. H. Melo, K. Annes, Domingos Lucas Latorre de Oliveira, Marcelo Zanchetta do Nascimento, Leandro Alves Neves

Publikováno v: Journal of Physics: Conference Series. 490:012125

In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c26c9f117c1325080184cb92be19fa45
https://doi.org/10.1088/1742-6596/490/1/012125

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