Comput Methods Programs Biomed - A parallel solution for high resolution histological image analysis.

Tópicos

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Resumo

This paper describes a general methodology for developing parallel image processing algorithms based on message passing for high resolution images (on the order of several Gigabytes). These algorithms have been applied to histological images and must be executed on massively parallel processing architectures. Advances in new technologies for complete slide digitalization in pathology have been combined with developments in biomedical informatics. However, the efficient use of these digital slide systems is still a challenge. The image processing that these slides are subject to is still limited both in terms of data processed and processing methods. The work presented here focuses on the need to design and develop parallel image processing tools capable of obtaining and analyzing the entire gamut of information included in digital slides. Tools have been developed to assist pathologists in image analysis and diagnosis, and they cover low and high-level image processing methods applied to histological images. Code portability, reusability and scalability have been tested by using the following parallel computing architectures: distributed memory with massive parallel processors and two networks, INFINIBAND and Myrinet, composed of 17 and 1024 nodes respectively. The parallel framework proposed is flexible, high performance solution and it shows that the efficient processing of digital microscopic images is possible and may offer important benefits to pathology laboratories.

Resumo Limpo

paper describ general methodolog develop parallel imag process algorithm base messag pass high resolut imag order sever gigabyt algorithm appli histolog imag must execut massiv parallel process architectur advanc new technolog complet slide digit patholog combin develop biomed informat howev effici use digit slide system still challeng imag process slide subject still limit term data process process method work present focus need design develop parallel imag process tool capabl obtain analyz entir gamut inform includ digit slide tool develop assist pathologist imag analysi diagnosi cover low highlevel imag process method appli histolog imag code portabl reusabl scalabl test use follow parallel comput architectur distribut memori massiv parallel processor two network infiniband myrinet compos node respect parallel framework propos flexibl high perform solut show effici process digit microscop imag possibl may offer import benefit patholog laboratori

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