Enhancing automatic classification of hepatocellular carcinoma images through image masking, tissue changes and trabecular features

BACKGROUND: Recent breakthroughs in computer vision and digital microscopy have prompted the application of such technologies in cancer diagnosis, especially in histopathological image analysis. Earlier, an attempt to classify hepatocellular carcinoma images based on nuclear and structural features...

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Опубликовано в: :J Pathol Inform
Главные авторы: Aziz, Maulana Abdul, Kanazawa, Hiroshi, Murakami, Yuri, Kimura, Fumikazu, Yamaguchi, Masahiro, Kiyuna, Tomoharu, Yamashita, Yoshiko, Saito, Akira, Ishikawa, Masahiro, Kobayashi, Naoki, Abe, Tokiya, Hashiguchi, Akinori, Sakamoto, Michiie
Формат: Artigo
Язык:Inglês
Опубликовано: Medknow Publications & Media Pvt Ltd 2015
Предметы:
Symposium – International Academy of Digital Pathology (IADP)
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4470016/
https://ncbi.nlm.nih.gov/pubmed/26110093
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2153-3539.158044
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