TY - GEN
T1 - Segmentation of Pathological Features of Rat Bile Duct Carcinoma from Hyperspectral Images
AU - Wang, Jiansheng
AU - Hu, Menghan
AU - Zhou, Mei
AU - Sun, Li
AU - Li, Qingli
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Liver disease has always been one of the key concerns of the medical community. In recent years, liver diagnostic techniques such as serology have been continuously developed, but the pathological diagnosis of the liver, especially the advancement of liver biopsy technology, is still the most reliable basis for the diagnosis and treatment of liver diseases. In this paper, pathological sections of rat bile duct carcinoma were used as experimental samples to identify and analyze liver tumor by microscopic hyperspectral imaging (MHSI)technique. The proposed method combines the Otsu (OTSU)algorithm with the support vector machine (SVM)algorithm to segment the liver tumor, and comparing with SVM segmentation results. Experimental results show that the OTSU-SVM method has an accuracy of 94.59%, which provides a potential reference value for the pathological diagnosis of liver tumors.
AB - Liver disease has always been one of the key concerns of the medical community. In recent years, liver diagnostic techniques such as serology have been continuously developed, but the pathological diagnosis of the liver, especially the advancement of liver biopsy technology, is still the most reliable basis for the diagnosis and treatment of liver diseases. In this paper, pathological sections of rat bile duct carcinoma were used as experimental samples to identify and analyze liver tumor by microscopic hyperspectral imaging (MHSI)technique. The proposed method combines the Otsu (OTSU)algorithm with the support vector machine (SVM)algorithm to segment the liver tumor, and comparing with SVM segmentation results. Experimental results show that the OTSU-SVM method has an accuracy of 94.59%, which provides a potential reference value for the pathological diagnosis of liver tumors.
KW - Otsu algorithm (OTSU)
KW - liver tumor
KW - microscopic hyperspectral imaging (MHSI)
KW - support vector machine (SVM)
UR - https://www.scopus.com/pages/publications/85062816382
U2 - 10.1109/CISP-BMEI.2018.8633189
DO - 10.1109/CISP-BMEI.2018.8633189
M3 - 会议稿件
AN - SCOPUS:85062816382
T3 - Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
BT - Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
A2 - Li, Wei
A2 - Li, Qingli
A2 - Wang, Lipo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
Y2 - 13 October 2018 through 15 October 2018
ER -