Paraconsistent analysis network applied in the treatment of Raman spectroscopy data to support medical diagnosis of skin cancer.

Paraconsistent logic (PL) is a type of non-classical logic that accepts contradiction as a fundamental concept and has produced valuable results in the analysis of uncertainties. In this work, algorithms based on a type of PL-paraconsistent annotated logic of two values (PAL2v)-are interconnected in...

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Publicado en:Medical & Biological Engineering & Computing Vol. 54; no. 10; pp. 1453 - 1468
Autores principales: Silva Filho, João, Nunes, Célio, Garcia, Dorotéa, Mario, Mauricio, Giordano, Fábio, Abe, Jair, Pacheco, Marcos, Silveira, Landulfo, Da Silva Filho, João Inácio, Vander Nunes, Célio, Garcia, Dorotéa Vilanova, Mario, Mauricio Conceição, Abe, Jair Minoro, Pacheco, Marcos Tadeu Tavares, Silveira, Landulfo Jr
Formato: review Journal Article
Publicado: Springer Nature Oct2016
Acceso en línea:Ver este registro en EBSCOhost
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          Silva Filho, João
          Nunes, Célio
          Garcia, Dorotéa
          Mario, Mauricio
          Giordano, Fábio
          Abe, Jair
          Pacheco, Marcos
          Silveira, Landulfo
          Da Silva Filho, João Inácio
          Vander Nunes, Célio
          Garcia, Dorotéa Vilanova
          Mario, Mauricio Conceição
          Giordano, Fábio
          Abe, Jair Minoro
          Pacheco, Marcos Tadeu Tavares
          Silveira, Landulfo Jr
        affil: Laboratory of Applied Paraconsistent Logic , Santa Cecília University-UNISANTA , Oswaldo Cruz Street, 288 Santos 11045-000 Brazil
      sug:
        subj:
          Melanoma Diagnosis
          Skin Neoplasms Diagnosis
          Carcinoma, Basal Cell Diagnosis
          Spectrum Analysis, Raman Methods
          Scales
      ab: Paraconsistent logic (PL) is a type of non-classical logic that accepts contradiction as a fundamental concept and has produced valuable results in the analysis of uncertainties. In this work, algorithms based on a type of PL-paraconsistent annotated logic of two values (PAL2v)-are interconnected into a network of paraconsistent analysis (PANnet). PANnet was applied to a dataset comprising 146 Raman spectra of skin tissue biopsy fragments of which 30 spectra were determined to represent normal skin tissue (N), 96 were determined to represent tissue with basal cell carcinoma, and 19 were determined to be tissue with melanoma (MEL). In this database, paraconsistent analysis was able to correctly discriminate 136 out of a total of 145 fragments, obtaining a 93.793 % correct diagnostic accuracy. The application of PAL2v in the analysis of Raman spectroscopy signals produces better discrimination of cells than conventional statistical processes and presents a good graphical overview through its associated lattice structure. The technique of PAL2v-based data processing can be fundamental in the development of a computational tool dedicated to support the diagnosis of skin cancer using Raman spectroscopy.
      pubtype: Academic Journal
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        Journal Article
      ougenre: Article
    language: English
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