Enhancing Automatic Classification of Hepatocellular Carcinoma Images through Image Masking, Tissue Changes, and Trabecular Features
Saved in:
| Main Authors: | Maulana Abdul Aziz, Hiroshi Kanazawa, Yuri Murakami, Fumikazu Kimura, Masahiro Yamaguchi, Tomoharu Kiyuna, Yoshiko Yamashita, Akira Saito, Masahiro Ishikawa, Naoki Kobayashi, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/2014/726782 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images
by: Yoshiko Yamashita, et al.
Published: (2014-01-01) -
Whole Slide Image Analysis System for Quantification of Liver Fibrosis
by: Tokiya Abe, et al.
Published: (2014-01-01) -
Multifractal Feature Descriptor for Histopathology
by: Chamidu Atupelage, et al.
Published: (2012-01-01) -
Evaluation of the performance of two carbodiimide-based cyanine dyes for detecting changes in mRNA expression with DNA microarrays
by: Naoki Kimura, et al.
Published: (2005-05-01) -
SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images
by: Chichun Yang, et al.
Published: (2024-01-01)