Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hae-Gil Hwang"'
Publikováno v:
Cellular Oncology, Vol 27, Iss 4, Pp 237-244 (2005)
Multi-resolution images of histological sections of breast cancer tissue were analyzed using texture features of Haar- and Daubechies transform wavelets. Tissue samples analyzed were from ductal regions of the breast and included benign ductal hyperp
Externí odkaz:
https://doaj.org/article/36e785b7abf04fa3a42af605f519b350
Publikováno v:
International Journal of E-Health and Medical Communications. 1:53-63
We review computerized cancer cell image analysis and visualization research over the past 30 years. Image acquisition, feature extraction, classification, and visualization from two-dimensional to three-dimensional image algorithms are introduced wi
Publikováno v:
Journal of Medical Systems. 34:709-716
The extraction of important features in cancer cell image analysis is a key process in grading renal cell carcinoma. In this study, we analyzed the three-dimensional chromatin texture of cell nuclei based on digital image cytometry. Individual images
Publikováno v:
Cellular Oncology, Vol 27, Iss 4, Pp 237-244 (2005)
Cellular Oncology : the Official Journal of the International Society for Cellular Oncology
Cellular Oncology : the Official Journal of the International Society for Cellular Oncology
Multi-resolution images of histological sections of breast cancer tissue were analyzed using texture features of Haar- and Daubechies transform wavelets. Tissue samples analyzed were from ductal regions of the breast and included benign ductal hyperp
We review computerized cancer cell image analysis and visualization research over the past 30 years. Image acquisition, feature extraction, classification, and visualization from two-dimensional to three-dimensional image algorithms are introduced wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b25437cda63e8bdd88b3ae0d068dc6a6
https://doi.org/10.4018/978-1-4666-0909-9.ch018
https://doi.org/10.4018/978-1-4666-0909-9.ch018
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540725299
RSFDGrC
RSFDGrC
We propose a method to classify breast lesions of ducatal origin. The materials were tissue sections of the intraductal proliferative lesions of the breast: benign(DH:ductal hyperplasia), ductal carcinoma in situ(DCIS). The total 40 images from 70 sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62488d6d36c2138d35ebd7ba64cbb94c
https://doi.org/10.1007/978-3-540-72530-5_17
https://doi.org/10.1007/978-3-540-72530-5_17
Autor:
Hyun-Ju Choi, Tae-Yun Kim, Heung-Kook Choi, Hye-Jin Jeong, Hae-Gil Hwang, Byeong-Il Lee, Jung-Joon Min
Publikováno v:
HEALTHCOM 2006 8th International Conference on e-Health Networking, Applications and Services.
Molecular imaging is leading an important role in the era of molecular medicine. Optical imaging, a rising star in the filed of molecular imaging, largely consists of fluorescent imaging and bioluminescent imaging. Molecular imaging analysis will all
Publikováno v:
Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..
Breast cancer was the most commonly occurring malignancy among women, so study of breast cancer are important. This paper is preprocessing of breast tumor research for segmentation method. There are many thresholding methods. Many thresholding method
Autor:
Hye-Kyoung Yoon, Hee-Cheol Kim, Heung-Kook Choi, Hae-Gil Hwang, Byoung-Doo Kang, Sang-Kyoon Kim, Hyun-Ju Choi
Publikováno v:
Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..
In this paper, we described breast tissue image analyses using texture features from Haar wavelet transformed images to classify breast lesion of ductal organ Benign, DCIS and CA. The approach for creating a classifier is composed of 2 steps: feature
Publikováno v:
Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..
Cardiac disorder is one of the important diseases. Three-dimensional visualization and motility analysis of heart are necessaries to diagnosis of cardiac disorder. Because it is an important that diagnosis of cardiac disorder considers changing of sh