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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Detalhes bibliográficos
Publicado no:J Pathol Inform
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Medknow Publications & Media Pvt Ltd 2015
Assuntos:
Symposium – International Academy of Digital Pathology (IADP)
Acesso em linha: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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