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

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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
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: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Symposium – International Academy of Digital Pathology (IADP)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470016/
https://www.ncbi.nlm.nih.gov/pubmed/26110093
http://dx.doi.org/10.4103/2153-3539.158044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470016/
https://www.ncbi.nlm.nih.gov/pubmed/26110093
http://dx.doi.org/10.4103/2153-3539.158044

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