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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: Society of Photo-Optical Instrumentation Engineers 2016
Fag:
Digital Pathology
Online adgang: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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