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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Detalles Bibliográficos
Publicado en:J Pathol Inform
Autores principales: 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
Lenguaje:Inglês
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Symposium – International Academy of Digital Pathology (IADP)
Acceso en línea: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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