Aplicação do processamento de imagens por computador na quantificação das variáveis histopatológicas da reparação tecidual de anastomoses colocólicas em cães
Abstract:RESUMO -OBJETIVO. Os autores apresentam
INTRODUÇÃOO campo da computação gráfica tem sido pesquisado por grande número de especialistas, dadas as suas possibilidades reais de aplicação nas descobertas científicas. Envolve todo e qualquer tipo de tratamento de imagens, desde simples gráficos até imagens complexas de projetos arquitetônicos.Filgueras et al. 1 apresentam a definição de computação gráfica como um conjunto de métodos e técnicas para conversão de dados para dispositivos gráficos, através de computado… Show more
“…Image Analysis (IA) is a recent tool used in many scientific areas, such as food quality (Li et al 1999, Lu et al 2000, Louka et al 2004, Tan 2004, Faucitano et al 2005, Fernández et al 2005, Vestergaard et al 2005, Yang et al 2005, agriculture (Santos et al 1998, Moreira et al 2004, Throop et al 2005 and as an aid in disease diagnosis (Novelli et al 1997, Azevedo-Marques 2001, Babinski et al 2002, Rosito 2002, Tang et al 2003. The ANN has been widely used in many scientific areas but presently is under-utilized in the poultry industry and has been scarcely reported in the literature.…”
(BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab ® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell ® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles were scored and grouped in a binary fashion the sensibility increased to 90% and obtained the maximum value for the specificity of 92%. These results demonstrate that the use of digital image analysis and ANN is a useful tool for the pathological classification of the BF lymphoid depletion. In addition it provides objective results that allow measuring the dimension of the error in the diagnosis and classification therefore making comparison between databases feasible.
“…Image Analysis (IA) is a recent tool used in many scientific areas, such as food quality (Li et al 1999, Lu et al 2000, Louka et al 2004, Tan 2004, Faucitano et al 2005, Fernández et al 2005, Vestergaard et al 2005, Yang et al 2005, agriculture (Santos et al 1998, Moreira et al 2004, Throop et al 2005 and as an aid in disease diagnosis (Novelli et al 1997, Azevedo-Marques 2001, Babinski et al 2002, Rosito 2002, Tang et al 2003. The ANN has been widely used in many scientific areas but presently is under-utilized in the poultry industry and has been scarcely reported in the literature.…”
(BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab ® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell ® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles were scored and grouped in a binary fashion the sensibility increased to 90% and obtained the maximum value for the specificity of 92%. These results demonstrate that the use of digital image analysis and ANN is a useful tool for the pathological classification of the BF lymphoid depletion. In addition it provides objective results that allow measuring the dimension of the error in the diagnosis and classification therefore making comparison between databases feasible.
“…O presente trabalho, através do método de estudo histológico informatizado, permitiu quantificar, de forma mais precisa, o edema anastomótico. Estas mesmas conclusões sobre a eficácia do método na quantificação do edema anastomótico foram observadas por outros autores 35,36 .…”
OBJETIVO: Avaliar o efeito da colostomia proximal na cicatrização de anastomoses colocólicas em ratos com obstrução intestinal. MÉTODO: 72 ratos foram divididos em três grupos: grupo controle (C), submetido à anastomose colocólica e à colostomia proximal na ausência de oclusão intestinal; grupo sem colostomia (SC), submetido à oclusão intestinal de 72 horas e à anastomose colocólica primária; grupo com colostomia (CC) submetido à oclusão intestinal de 72 horas, à anastomose colocólica primária e à colostomia proximal. A cicatrização anastomótica foi avaliada em dois períodos, nos 2º e 7º dias de pós-operatório, em relação à deiscência anastomótica, aderências, epitelização mucosa, pressão de ruptura e a variáveis histológicas por estudo convencional e informatizado. RESULTADOS: verificou-se maior tendência a deiscência anastomótica no grupo SC (12,5%), e elevada incidência de complicações da colostomia no grupo CC (13%), entretanto tais resultados não apresentaram diferença estatística significante. No que se refere às demais variáveis analisadas para verificação da cicatrização anastomótica deve-se considerar que houve equivalência entre os três grupos nos dois períodos analisados. CONCLUSÃO: Não há diferença entre a cicatrização de anastomoses colocólicas associadas ou não à colostomia proximal, em ratos com obstrução intestinal.
“…created software called IMAGELAB for image processing and analysis of microscopic images. [152] Though Novelli’s group was the most prolific it was far from the only Brazilian effort in digital pathology image analysis at the time; there were also active research groups at the Evangelical Faculty of Medicine of Parana, Brazil and the Adolfo Lutz Institute, São Paulo, Brazil. [153154] In 1993, The Institut Pasteur de Guyane, Hopital Jean Martial, Cayenne, French Guiana published a paper on the use of computer-aided image analysis in the study of inflammatory cells in skin lesions of chromomycosis.…”
Pathology informatics has evolved to varying levels around the world. The history of pathology informatics in different countries is a tale with many dimensions. At first glance, it is the familiar story of individuals solving problems that arise in their clinical practice to enhance efficiency, better manage (e.g., digitize) laboratory information, as well as exploit emerging information technologies. Under the surface, however, lie powerful resource, regulatory, and societal forces that helped shape our discipline into what it is today. In this monograph, for the first time in the history of our discipline, we collectively perform a global review of the field of pathology informatics. In doing so, we illustrate how general far-reaching trends such as the advent of computers, the Internet and digital imaging have affected pathology informatics in the world at large. Major drivers in the field included the need for pathologists to comply with national standards for health information technology and telepathology applications to meet the scarcity of pathology services and trained people in certain countries. Following trials by a multitude of investigators, not all of them successful, it is apparent that innovation alone did not assure the success of many informatics tools and solutions. Common, ongoing barriers to the widespread adoption of informatics devices include poor information technology infrastructure in undeveloped areas, the cost of technology, and regulatory issues. This review offers a deeper understanding of how pathology informatics historically developed and provides insights into what the promising future might hold.
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