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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:J Pathol Inform
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Medknow Publications & Media Pvt Ltd 2015
Konular:
Symposium – International Academy of Digital Pathology (IADP)
Online Erişim: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
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller