TY - GEN
T1 - Support system for histopathologic diagnosis of hepatocellular carcinoma using nuclear positions
AU - Takahashi, Masanobu
AU - Nakano, Masayuki
AU - Tomita, Muneyoshi
AU - Matsunaga, Kazumasa
PY - 2004/12/1
Y1 - 2004/12/1
N2 - We report support system for histopathologic diagnosis of hepatocellular carcinoma, and especially for differential diagnosis between normal and extremely well-differentiated hepatocellular carcinoma (EHCC). To extract the positions of hepatocellular nuclei, a three-step method composing candidates extraction, contours extraction and screening steps was proposed. About 83% of the nuclear positions were correctly extracted with 10% of the positions wrongly extracted. As a result, the time required to correct the wrong positions using a graphical user interface (GUI) was reduced. Nuclear density and ratio of high nuclear density area are proposed as the two features calculated using these extracted positions. Simulation results showed the effectiveness of these features for differential diagnosis between normal and EHCC. A GUI was developed that enables a user to extract the nuclear positions, to correct the positions, and to calculate the proposed features by simple button operations. The total time for processing one image and extracting the features was about 2 minutes. This system would be helpful in actual diagnosis.
AB - We report support system for histopathologic diagnosis of hepatocellular carcinoma, and especially for differential diagnosis between normal and extremely well-differentiated hepatocellular carcinoma (EHCC). To extract the positions of hepatocellular nuclei, a three-step method composing candidates extraction, contours extraction and screening steps was proposed. About 83% of the nuclear positions were correctly extracted with 10% of the positions wrongly extracted. As a result, the time required to correct the wrong positions using a graphical user interface (GUI) was reduced. Nuclear density and ratio of high nuclear density area are proposed as the two features calculated using these extracted positions. Simulation results showed the effectiveness of these features for differential diagnosis between normal and EHCC. A GUI was developed that enables a user to extract the nuclear positions, to correct the positions, and to calculate the proposed features by simple button operations. The total time for processing one image and extracting the features was about 2 minutes. This system would be helpful in actual diagnosis.
KW - Contour extraction
KW - Diagnosis support
KW - Hepatocellular carcinoma
KW - Histopathology
KW - Nucleus
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=11144298104&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11144298104&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11144298104
SN - 0889863792
SN - 9780889863798
T3 - Proceedings of the IASTED International Conference on Biomedical Engineering
SP - 219
EP - 223
BT - Proceedings of the IASTED International Conference on Biomedical Engineering
A2 - Tilg, B.
T2 - Proceedings of the IASTED International Conference on Biomedical Engineering
Y2 - 16 February 2004 through 18 February 2004
ER -