Abstract
Nuclear density and nuclear morphometric features such as shape of nuclei are useful in diagnosing hepatocellular carcinoma, especially well-differentiated hepatocellular carcinoma (ewHCC). We previously developed a support system for diagnosing ewHCC that enables the user to estimate the nuclear density and the roundness factor of nuclei. The system automatically extracts the positions and contours of nuclei from a microscopic image. However, it takes a few minutes for the user to correct wrong positions and contours using a graphical user interface (GUI). Our target is to improve the accuracy for nuclear position extraction and contours extraction and to make the system more convenient. As a method to improve the accuracy, a multimodal method was employed. A multimodal method is a method to use images captured by more than one imaging methods. We found a composite image of bright-field and dark-field images improves the accuracy. Experimental results showed that the accuracy was improved by the multimodal method as well as by some additional improvements in the method.
| Original language | English |
|---|---|
| Title of host publication | IFMBE Proceedings |
| Pages | 639-642 |
| Number of pages | 4 |
| Volume | 37 |
| DOIs | |
| Publication status | Published - 2011 |
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Keywords
- Contour
- Hepatocellular carcinoma
- Histology
- Image
- Nuclear density
- Nucleolus
- Nucleus
- Segmentation
- Support
ASJC Scopus subject areas
- Biomedical Engineering
- Bioengineering
Cite this
Segmentation of nuclei in hepatic histological images using multimodal method. / Takahashi, Masanobu; Koichi, J.; Makino, Y.; Kitani, T.; Nakano, M.
IFMBE Proceedings. Vol. 37 2011. p. 639-642.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Segmentation of nuclei in hepatic histological images using multimodal method
AU - Takahashi, Masanobu
AU - Koichi, J.
AU - Makino, Y.
AU - Kitani, T.
AU - Nakano, M.
PY - 2011
Y1 - 2011
N2 - Nuclear density and nuclear morphometric features such as shape of nuclei are useful in diagnosing hepatocellular carcinoma, especially well-differentiated hepatocellular carcinoma (ewHCC). We previously developed a support system for diagnosing ewHCC that enables the user to estimate the nuclear density and the roundness factor of nuclei. The system automatically extracts the positions and contours of nuclei from a microscopic image. However, it takes a few minutes for the user to correct wrong positions and contours using a graphical user interface (GUI). Our target is to improve the accuracy for nuclear position extraction and contours extraction and to make the system more convenient. As a method to improve the accuracy, a multimodal method was employed. A multimodal method is a method to use images captured by more than one imaging methods. We found a composite image of bright-field and dark-field images improves the accuracy. Experimental results showed that the accuracy was improved by the multimodal method as well as by some additional improvements in the method.
AB - Nuclear density and nuclear morphometric features such as shape of nuclei are useful in diagnosing hepatocellular carcinoma, especially well-differentiated hepatocellular carcinoma (ewHCC). We previously developed a support system for diagnosing ewHCC that enables the user to estimate the nuclear density and the roundness factor of nuclei. The system automatically extracts the positions and contours of nuclei from a microscopic image. However, it takes a few minutes for the user to correct wrong positions and contours using a graphical user interface (GUI). Our target is to improve the accuracy for nuclear position extraction and contours extraction and to make the system more convenient. As a method to improve the accuracy, a multimodal method was employed. A multimodal method is a method to use images captured by more than one imaging methods. We found a composite image of bright-field and dark-field images improves the accuracy. Experimental results showed that the accuracy was improved by the multimodal method as well as by some additional improvements in the method.
KW - Contour
KW - Hepatocellular carcinoma
KW - Histology
KW - Image
KW - Nuclear density
KW - Nucleolus
KW - Nucleus
KW - Segmentation
KW - Support
UR - http://www.scopus.com/inward/record.url?scp=80455162733&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80455162733&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23508-5_166
DO - 10.1007/978-3-642-23508-5_166
M3 - Conference contribution
AN - SCOPUS:80455162733
VL - 37
SP - 639
EP - 642
BT - IFMBE Proceedings
ER -