Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens

This paper proposes a digital image analysis method to support quantitative pathology by automatically segmenting the hepatocyte structure and quantifying its morphological features. To structurally analyze histopathological hepatic images, we isolate the trabeculae by extracting the sinusoids, fat...

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Detalles Bibliográficos
Publicado en:J Med Imaging (Bellingham)
Main Authors: Ishikawa, Masahiro, Murakami, Yuri, Ahi, Sercan Taha, Yamaguchi, Masahiro, Kobayashi, Naoki, Kiyuna, Tomoharu, Yamashita, Yoshiko, Saito, Akira, Abe, Tokiya, Hashiguchi, Akinori, Sakamoto, Michiie
Formato: Artigo
Idioma:Inglês
Publicado: Society of Photo-Optical Instrumentation Engineers 2016
Assuntos:
Digital Pathology
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4891529/
https://ncbi.nlm.nih.gov/pubmed/27335894
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.3.2.027502
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